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Lead Full Stack Software Engineer Application Development Jobs

10,000 active opportunities · Updated for October 2026

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Explore current lead full stack software engineer application development jobs. Use filters to narrow by work mode, employment type, experience and date posted.

O
OpenAI
📍 San Francisco• Full-time• Remote• $347K – $445K/yr
6mo ago

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. 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. Key Responsibilities Develop and maintain performance modeling tools and frameworks. Build models to evaluate system behavior across: compute, memory, and interconnect subsystems distributed system scaling and bottlenecks. Run simulations and analytical models to support architectural tradeoff analysis. Collaborate with performance modeling lead and system architects to answer forward-looking design questions. Analyze and interpret modeling outputs, translating results into actionable insights. Validate models against real system measurements and workload behavior. Contribute to improving modeling fidelity, usability, and scalability. Qualifications Strong software engineeri

REMOTEartificial intelligenceai
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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 are looking for a highly skilled PSIRT Engineer to lead the vulnerability response program for Replit’s cloud-native AI platform. You will own the lifecycle of security vulnerabilities affecting our products and services—from intake to validation, remediation coordination, and public disclosure. This role requires strong technical ability to reproduce vulnerabilities , deep understanding of web/app/cloud exploit classes, and experience operating bug bounty and coordinated disclosure programs. You will work closely with Engineering, Cloud Security, SecOps, SRE, and IT teams to ensure vulnerabilities are fixed quickly and communicated responsibly. What You’ll Do Vulnerability Intake, Triage & Validation Manage intake from bug bounty platforms (HackerOne preferred), customer reports, automated scanners, pentest reports, and coordinated disclosure channels. Independently validate, reproduce, severity-score, and document findings. Identify duplicates and maintain a clean vulnerability records pipeline. Assess relevance and exploitability using OWASP, cloud misconfiguration patterns, and identity/authentication/authorization risks (Oauth, OIDC). Remediation Coordination & SLA Management Work with Engineering, SecOps, IT, SRE, and Cloud Security to confirm product impact and drive remediation. Provide detailed reproduction steps, proof-of-concepts, and technical analyses. Track SLAs, remediation progress, regression testing, and systemic improvements. Support SOC 2, ISO 27001, and pentest evidence needs as part of vulnerability lifecycle governance. Bug Bounty & Vulnerability Disclosure Program Management Design and evolve the bug bounty program, including scope, rules, and reward structures. Man

pythongcpci/cd
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PE
Private Employer
📍 Uttar Pradesh, India• Full-time
6mo ago

Position: Engineering Manager - Database Job Location: Noida Role Overview We are seeking a Database Engineering Manager (Individual Contributor) with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL, and Cassandra. This role combines hands-on database administration and optimization with strategic ownership of database reliability, automation, and cloud adoption. The candidate will lead by example—driving technical excellence, influencing best practices, and partnering cross-functionally with DevOps, SRE, and product engineering teams to deliver highly available, secure, and scalable database platforms. Key Responsibilities 1. End-to-End Ownership of MySQL databases in production & staging—availability, performance, and reliability. 2. Architect, manage, and support MongoDB, PostgreSQL, and Cassandra clusters for scale and resilience. 3. Define and enforce backup, recovery, HA, and DR strategies across all critical database platforms. 4. Drive database performance engineering—tuning queries, optimizing schemas, indexing, and partitioning for high-volume workloads. 5. Own replication, clustering, and failover architectures ensuring business continuity. 6. Champion automation & AI-driven operations—design self-healing scripts, predictive scaling, and proactive monitoring solutions. Collaborate with Cloud/DevOps teams on AWS database services (RDS, Aurora, DynamoDB, EC2, S3) to optimize cost, security, and performance. 7. Establish monitoring dashboards & alerting mechanisms for slow queries, replication lag, deadlocks, and capacity planning. Ensure compliance & security standards—encryption, auditing, and regulatory requirements. 8. Lead incident management & on-call rotations, ensuring rapid response and minimal MTTR. 9. Act as a strategic technical partner, contributing to database roadmaps, automation strategy, and adoption of AI-driven DBA practices. Required Skills & Experience 1. 6–10 years of p

sqlpostgresqlmysql
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Senior Customer Success Manager Location: West Coast US (Remote with up to 50% travel) Canopy is dedicated to keeping medical personnel safe while at work. We offer innovative technology solutions that prioritize the safety, security, and efficiency of healthcare environments. As we continue to grow, we are looking for a Senior Customer Success Manager (CSM) to join our team who is not only customer-centric but also a strong leader capable of helping shape and evolve the future of the Customer Success function. This role is part of Canopy’s growing Customer Experience team. Our CSMs work in close partnership with Implementation Managers, Account Executives, and Field Service Specialists to ensure a world-class customer journey. Senior CSMs lead our most complex, multi-phase enterprise accounts, while CSMs drive success and value across smaller, high-impact programs. Role Overview The Senior Customer Success Manager (CSM) at Canopy is responsible for managing a portfolio of high-priority, complex accounts—typically large, multi-site, multi-phase healthcare deployments. This individual will work closely with the Director of Customer Success and SVP of Customer Experience to ensure customer success, drive growth and renewals, and contribute heavily to the strategy, processes, and tools that define and evolve the Customer Success function. The Senior CSM will engage throughout the entire customer lifecycle, from install through renewal, with a focus on executive relationship building, measurable outcomes, and program growth. In addition to managing strategic accounts, the Senior CSM will bring best practices and feedback that help scale Canopy’s success model. Key Responsibilities Customer Management & Account Strategy Lead and manage a portfolio of strategic enterprise healthcare accounts, ensuring customer satisfaction and success across the lifecycle. Develop and execute tailored success plans, fostering strong relationships with stakeholders at all levels

salesforcecustomer serviceCRM
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OH
Omada Health
📍 United States• Remote
6mo ago

Omada Health is on a mission to bend the curve of chronic disease. The Opportunity Omada Health is at a defining inflection point. As a newly public virtual care company, the organization is pursuing an ambitious long-term vision to expand its impact, reach more members, and build one of the most important growth platforms in healthcare. This is not a routine commercial leadership role. It is a high-stakes mandate requiring a leader who can deliver near-term performance while building the commercial foundation for substantially greater scale over time. Omada Health seeks a Chief Revenue Officer who is not simply a commercial leader but a market architect—someone who can build and lead a differentiated commercial engine capable of delivering sustained growth across existing and emerging channels. This leader will drive the strategy to integrate AI into Omada’s GTM model, expand access, deepen market penetration, and position Omada for the next phase of category leadership. This is a singular role in digital health. The CRO will sit at the intersection of commercial execution, product experience, and enterprise transformation—owning not just revenue targets, but the commercial conditions that determine whether Omada can scale its impact and performance over the long term. The premium on a new type of leader is high. This role is for someone energized by bold mandates, operational complexity, and mission-driven growth. Strategic Imperatives Drive Enterprise Growth Own commercial execution against Omada’s long-range growth ambitions, with accountability for near-term performance and durable long-term scale. Build and execute plans that support significant increases in covered lives, enrollment, revenue, and market penetration over time. Anticipate execution risk early and build contingency plans that preserve momentum when market conditions, policy dynamics, or operating assumptions shift. Create and Expand Markets Aggressively Expand Omada’s presence across healt

REMOTEaiHR
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Zoox
📍 Foster City• Full-time• Hybrid• $237K – $322K/yr
6mo ago

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. The Software Performance team keeps the main onboard computer healthy and performant to ensure that our on-bot autonomy software meets its latency targets while also accommodating its safety goals. We are responsible for the efficient allocation of onboard compute resources (CPU/GPU/Memory/accelerators) ensuring contention is minimized and the autonomy stack executes harmoniously. As the Onboard Execution team leader within the Performance team, you will lead a highly specialized team of software performance engineers in aggressively optimizing on-bot software runtime. This is a high impact role that sits at the intersection of ML Platform, Core, and Autonomy Software - ensuring that efficient compute utilization is a central tenet emphasized across the organization. In this role, you will: Manage a team of 8-to-10 engineers focused on optimizing the software performance of the on-bot autonomy software stack. Partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture teams to meet strict system response (latency) and compute utilization targets. Achieve alignment between cross-functional leaders across the Software organization on compute resource allocations and budgets. Hire, grow, and develop talent in the realm of performance optimization. Build self-service force-multiplier frameworks & workflows that empower developers to deliver efficient & performant software. Qualifications BS in computer science, computer engineering, or related field Proficiency with C++ & concurrent (parallel) execution systems Deep knowledge and unde

linuxmachine learningc++
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S
Sofi
📍 Sf San Francisco Tx Frisco• Full-time
6mo ago

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. The role As a Senior Manager within our Capital Markets Team, you will be the execution lead and central orchestrator for our most critical initiatives, guiding them from inception to successful completion. This is a high-visibility leadership role for a hands-on operator who excels at driving complex, cross-functional workstreams while ensuring strict alignment with the company’s broader finance and planning priorities. The ideal candidate is a self-driven leader who pairs a big-picture perspective with the analytical rigor required to dive into details, ask the right questions, and maintain cross-functional cohesion. You will own the advancement of key Capital Markets initiatives, ensuring all timelines are met. Serving as a trusted partner to the Director of Transaction Development, you will strengthen engagement with business lines and help shape SoFi’s evolving funding platform. This role requires combining strong execution discipline with strategic judgment, moving seamlessly between driving daily progress, clearing roadblocks, and providing high-level team direction. What you’ll do: Execution Leadership: Provide end-to-end oversight of Capital Markets initiatives, ensuring disciplined delivery and clear accountability across workstreams. Actively push progress, enforce timelines, and hold stakeholder

project managementfinance
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About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Expectation: • Working closely with vertical product managers/ business leads to understand product use cases, customer journeys, business applicability and impact of each use case. • Ability to understand different technology platforms, their features and be able to work with solution architects/engineering leads and write detailed product requirement documents, manage future roadmaps and deliverables • Make sure that clear, simple, and technically sound decisions are made • With your strong domain knowledge of lending platforms, we expect you to provide your subject matter expertise in requirements solutioning • Ability to work with multiple stakeholders / senior management / cross-functional teams to influence them for quicker decisions, manage sudden technical roadblocks and be able to clear them • Lead product team processes (Agile/Scrum) and manage expectations and track roadmap regularly • Be involved in what your team is building - Run edge cases, test products proactively and its features to provide feedback early in the cycle, make sure entire journeys are covered, and that product reporting exists to track KPIs for the product and its success (data-driven product management). Superpowers that will help you succeed in this role: • Bachelor’s degree in engineering, computer science and/or related field • Professional experience in a product management or analytical role with hands on experience in banking processes • Having deep understanding of Lending in Product Management role building credit platform products Knowledge of Fintech/ BFSI/ Lending domain • Exp should be in between 2 - 4 years, out of whi

gitagilescrum
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PE
6mo ago

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role Paytm Ads is strengthening its position as a leading outcome-driven advertising platform, powered by high-intent first-party data, machine learning–led optimization, and robust measurement and attribution capabilities. As Director of Product, you will lead the evolution of our existing ads platform into a performance-first, data-powered ecosystem, unlocking stronger advertiser outcomes across ROAS, CAC, and conversions. This role sits at the intersection of ads, data, and commerce, and requires a strong blend of strategic thinking, product depth, and execution excellence. What You’ll Drive 1. Outcome-Driven Ads Platform Define and scale Paytm’s performance advertising stack, focused on delivering measurable outcomes (ROAS, CAC, conversions)Build solutions across: Audience targeting & retargeting Campaign optimization Conversion tracking & attribution. 2. First-Party Data & Audience Systems Leverage Paytm’s rich transactional and behavioral data to build high-quality audience segments Design and scale privacy-safe data activation frameworks, including clean room (DCR) capabilities Enable advertisers to activate their own data in a secure, compliant manner. 3. ML-Led Decisioning & Optimization Lead the development of machine learning–driven systems for: Bidding & budget allocation Ad ranking & personalization Audience selection and lookalike modeling Drive continuous improvement in model performance and business outcomes. 4. Data Infrastructure & Platform Thinking Build and evolve data platforms and decisioning engines that power real-time ad delivery and optimization Ensure systems are scalabl

gitmachine learningai
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D
Datadog
📍 Chicago• Full-time• From $154K/yr
6mo ago

We are Datadog’s in-house technical leaders. The Technical Account Management team drives Datadog’s continued global growth by ensuring our customers realize long-term value from our platform through successful adoption, expansion, and partnership. As a Manager 1 in Technical Account Management, you will lead and develop high-performing technical teams while influencing strategy, execution, and outcomes across customers, internal partners, and the broader organization. Manager 1 leaders at Datadog are people-first managers, trusted collaborators, and operational owners. You will coach and mentor individual contributors, drive execution against team and organizational goals, and serve as a strong voice for customer needs and technical excellence. At Datadog, we place value in our office culture; the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and coach a team of up to 6 Technical Account Managers, providing regular 1:1s, team meetings, and bi-annual performance feedback Own and track team KPIs , including scheduling, utilization, productivity, and delivery outcomes Partner closely with Sales, Customer Success, Presales, Product Management, Support, and Marketing to align post-sales strategy and execution Lead and participate in customer-facing engagements when appropriate, including escalations, strategic reviews, and key account discussions Drive account strategy discussions focused on product adoption, expansion, and services delivery Actively participate in recruiting , hiring, and onboarding efforts across your team and the broader organization Gather and synthesize customer feedback to influence product direction, process improvements, and internal initiatives Lead multiple OKR initiatives annually , coordinating and delegating efforts across your team Demonstrate thought leadership by identifyi

aigorust
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O
OpenAI
📍 San Francisco• Full-time
6mo ago

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and safeguard efficacy in production, including driving the strategy for our suite of safety measurement platforms and products used across the company. You will partner closely with our safety research and engineering teams to determine what we measure, where we measure it, and how we measure it, feeding those insights directly into critical leadership decisions and back into our safety work. You will also represent the company's topline safety metric as well as prioritize incoming requests from partner teams to expand our safety measurement platform to more use cases. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence on our platforms. Define strategic priorities and product roadmaps focused on improving safety measurement approaches will scaling our measurement platform to more use cases, products, and cross-functional team needs. Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s safety m

awsrestai
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FEQ227R255 The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, l

pythonsqlaws
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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pr

mongodbawsazure
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PE
Private Employer
📍 Uttar Pradesh, India• Full-time
6mo ago

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. OVERALL ROLE: The Technical Manager will (lead a team to) manage the day-to-day M&E Operations and activities for the assigned property/facility, and be the on-site key point of contact for key location stakeholders. The role will assume overall responsibility for site budgets, accounting and finance, maintenance and operations, contract services, purchasing of material, equipment & supplies, occupancy services and helpdesk. MAJOR RESPONSIBILITIES ▪ Operations Management: ● Establish Engineering & Operational procedures and roll out the same for site staff ● Establish contacts with local authorities on the facility related issues and maintain the relationship. Responsible for all legal & authorities related compliances pertaining to facility & engineering systems ● Plan and manage the budgets for Engineering & Operational contracts ● Carry out Technical Audits for all installations at periodical intervals ● Review the maintenance/service practices of M&E Contractors to deliver quality work practices in line with the manufacturer recommendations ● Plan & take responsibility for smooth operations of all Mechanical, Electrical, Plumbing installations and Civil works pertaining to the facility ● Responsible for planning a critical spares list for all installations as per manufacturer's recommendations and inventory ● Responsible for development of all maintenance related schedules and shutdowns in consultation with Clients / OEMs ● Periodically inspect the logbooks, checklists and PPM schedules for a better management of Engineering systems ● Work towards the 'ZERO' down time and set

aigorust
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DU
DoorDash USA
📍 United States• Full-time• $184.3K – $271K/yr
6mo ago

About the Team Merchant Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. We work across some of DoorDash’s most important merchant and marketplace priorities, building the measurement, insights, and decision frameworks that improve outcomes for merchants and drive company impact. About the Role We’re hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into Director, Data Science on our Merchant Analytics team in our Analytics organization. You’re excited about this opportunity because you will… Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash’s most important product, business, and GTM priorities. Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics. Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes. Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment. Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time. We’re excited

Excellogisticsrecruitment
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