Lead Full Stack Software Development Engineer Jobs

Role Overview We are looking for a Senior FP&A Engineer to lead the design and implementation of enterprise planning solutions across Finance, Sales, and Workforce domains. This role will be part of a Global Finance Technology, partnering closely with onshore FP&A, RevOps, and other Business teams. You will play a key role in driving the organization’s transition to driver-based, integrated planning using platforms such as Pigment, Anaplan, and Workday Adaptive Planning, while ensuring scalability, governance, and high-quality delivery from India. We are looking to speak to candidates who are based in Gurugram or Bangalore for our hybrid working model. Key Responsibilities 1. Enterprise Planning Delivery Design and build scalable planning models across: Financial Planning (P&L, Cash Flow, Balance Sheet) Workforce Planning and Cost modeling Sales & Revenue forecasting (ARR, pipeline, bookings) Own end-to-end delivery working with the Product Manager : design → build → test → deploy → support 2. Model Development & Optimization Build multi-dimensional, driver-based models with strong focus on performance Develop scenario planning, versioning, and forecasting capabilities Optimize model size, calculation efficiency, and user experience 3. Platform Expertise Subject Matter Expertise in: Pigment Anaplan (Model Builder / Solution Architect) Configure workflows, security, and access controls Leverage platform-native capabilities vs over-customization 4. Data Integration & Automation Integrate planning tools with enterprise systems: ERP (NetSuite / Oracle) CRM (Salesforce) Data platforms Build and maintain automated data pipelines using SQL, APIs, or ETL tools 5. Stakeholder Collaboration (Global Model) Work closely with US / EMEA FP&A, IT, and Business teams Participate in requirement workshops and translate business needs into technical designs Provide regular updates, demos, and documentation to global stakeholders 6. Governance, C

Head of Channel Partnerships, APAC Asana is looking for a Head of Channel Partnerships to lead and grow our channel business across APAC (excluding Japan). The Channel and Ecosystems team is dedicated to accelerating Asana's growth and market reach through partnerships and fostering a thriving partner network. In this role, you will sit at the intersection of sales leadership and channel strategy, managing a team of Channel Partner Managers spanning the region, setting the strategic direction for how we go to market through and with partners, and raising the bar on how our team sells alongside them. Reporting to the GM of APAC, you will be a key voice in shaping how Asana scales across diverse and fast-growing markets by running deep discovery, driving executive storytelling, and coaching your team to model excellence in the field. This role is based in our Singapore or Sydney office with an office-centric hybrid schedule. The standard in-office days are Tuesday, Wednesday, and Thursday. Most Asanas have the option to work from home on Mondays and Fridays. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead, coach, and develop a regional team of Channel Partner Managers across APAC (ex-Japan), owning their performance, growth, and day-to-day effectiveness in the field. Own the APAC channel revenue number, setting targets, building pipeline visibility, and holding the team accountable to outcomes. Shape and execute the APAC channel GTM strategy, including partner segmentation, coverage model, and investment priorities across Southeast Asia, India, ANZ, and other key markets. Raise the team's sales capability, coaching them on how they run discovery, identify customer pain, and show up alongside partners in front of executive stakeholders. Build and maintain senior relationships with Asana's most strategic channel partners across the region, serving as an escalation point and executive sponsor

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a GQ FE Central QE Product Senior Engineer, you will lead network-level quality and reliability improvement initiatives to meet product, qualification, and customer requirements. This role goes beyond document-based quality work and requires strong technical depth in Front-End (FE) manufacturing, as well as the ability to influence and drive execution across a matrix organization. You will work closely with GQ, CPIE, Process Engineering (PE), and FE fab teams to establish and deploy best-known methods (BKMs), define clear line-of-sight metrics, and execute cross-functional action plans that improve product quality and reliability, and higher tier supply. You will also chair and facilitate network forums to align stakeholders, remove roadblocks, and ensure timely closure of issues and deliverables. Key program activities include driving cross-site benchmarking for F10 metallization and OMT expansion to ensure product quality performance matching across the network. Responsibilities and Tasks Drive alignment and collaboration guidance from Quality Organizations in FE Manufacturing, GQ, and PE. Develop, manage, and communicate strategic plan for high tier product grade yield, F10 metallization and OMT expansion equivalency program. Conduct analysis to identify cross-site gaps and support driving cross-site matching (e.g., quality/reliability indicators, yield/product grade performance), translating insights into prioritized actions and measu

(CSQ327R106) As a DSA Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, FDE and Partners teams in the Southern Europe, Israel, Middle-East and Africa (SEMEA, France excluded) region to shape the post-sales delivery strategy for our major customers and will report to the SEMEA SSA & DSA leader. DSAs are collaborating with sales and field engineering teams to drive our customers' adoption and growth. They are guiding complex customers to maximize platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth, with technical expertise across all Databricks products. They are engaged at all organizational levels to drive the adoption. Your role will have 3 main pillars: People : Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery Business : You will contribute to the growth of the region and to the investment/co-investment positioning of your team with our customers Leadership: You will be the technical sponsor and thought leader for a number of selected customers. You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice to and improve effectiveness and consistency in working with customers. The impact you will have: Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring) Lead by example using our AI tooling to deliver C-level thought leadership discussions with our customers Assign accounts and distribute work across individuals for optimal customer coverage and team balance Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology Partner with Sales, pre Sales and FDE teams to accelerate growth of customers Work with teams to reduce customer risk and help your team wi

The Team Member - Admin plays a key role in supporting Admin Operations consists of range of administrative tasksunder the leadership of Site Admin Lead.This role serves as a point of contact with service partners, ensure proper record-keeping, and assist with facility operations.The role also involves overseeing service partner activities, coordination for site events, and ensuring timely service delivery. Additionally, the Team Member - Admin contribute in sustaining admin operations with utmost employee satisfaction. Source: Adani Group | Job ID: 43967

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at Baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Leadership & Team Management Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional deve

We are seeking a strategic and execution-oriented Logistics & Operations Planning (S&OP) Manager to build and lead our process that aligns fleet demand with manufacturing, supply chain, operations, and financial plans. This role will sit within the Logistics organization and serve as a key cross-functional integrator, ensuring that demand, supply, capacity, inventory, and cost assumptions are connected through a single planning process that enables clear decisions and disciplined execution. This individual will establish the S&OP governance, cadence, and decision-making framework needed to align business priorities with operational capabilities. The ideal candidate will bring strong experience in planning, operations, and cross-functional leadership, with the ability to translate dynamic business needs into a scalable and effective planning rhythm. In this role, you will: Design and lead the company-wide S&OP process to align fleet demand, production, supply readiness, inventory, and financial plans. Establish and run the monthly planning cadence, including demand review, supply review, scenario planning, and executive alignment. Partner with Logistics, Manufacturing, Finance, Supply Chain, and Operations teams to maintain a single integrated view of priorities, risks, and constraints. Drive scenario analysis and trade-off decisions related to demand changes, supply constraints, capacity, inventory, and cost. Develop and track key planning metrics such as forecast accuracy, plan attainment, inventory health, service readiness, and cost control. Create executive-ready communications and recommendations while driving continuous improvement in planning processes, tools, and reporting. Qualifications Bachelor’s degree in Supply Chain, Operations, Engineering, Business, Finance, or a related field. 10+ years of

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Support our team culture by working in the office 4 days a week (Monday - Thursday). This means you’ll have to live within commuting distance of the office you’ll be working in. Snowflake is seeking motivated people with a passion for technology and the drive to build an incredible career in SaaS sales. The Sales Development team plays a critical role in the growth of our organization. Our team works in collaboration with sales and marketing nurturing leads and setting qualified discovery calls that ultimately lead to new business and new revenue. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team ON DAY ONE WE WILL EXPECT YOU TO HAVE: A passion for technology and software sales

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

Principal Payments Architect Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead innovative payments transformation across financial services. About Capco Capco is a global leader in technology and business consulting, dedicated to driving digital innovation and transformation in financial services. We’ve partnered with over 100 clients worldwide - from pioneering FinTech's to established global institutions - helping them adapt, compete, and scale in a rapidly evolving industry. With more than 30 offices globally, we combine deep expertise in banking, payments, capital markets, insurance, wealth and asset management, and energy with an agile, inclusive, and entrepreneurial culture. Role Overview You will play a central role in shaping and delivering some of our clients' most critical payments transformation programmes, applying your expertise in enterprise and solution architecture alongside your deep knowledge of payments. You will help modernise core payment platforms and enable new digital payment capabilities while guiding clients through complex regulatory, operational, and technology change. Your work will influence how banks and financial institutions build, operate, and innovate across domestic and international payment ecosystems. Working closely with engineers, you will design scalable and resilient payment solutions while helping senior stakeholders shape long-term payments strategies and investment decisions. You will also lead high-performing teams, mentor junior technologists, and contribute to the growth of our Technology & Engineering Practice through thought leadership, community engagement, and supporting new client opportunities. You'll be encouraged to adopt approved AI-enabled tools and automation to enhance architecture design, accelerate analysis, improve documentation quality and support more informed decision-making, while applying appropriate human judgement, governance and responsible AI prin

Datadog is seeking a strategic, results oriented Director to lead and scale our Technical Support Engineering (TSE) organization across LATAM. This leader will be responsible for strengthening and expanding our regional support presence, building high-performing teams, and ensuring operational excellence as we continue our rapid growth.You will lead a team of managers and support engineers in our LATAM region, partnering cross-functionally to deliver exceptional customer outcomes and consistent global standards. A t 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, develop, and scale a multi-country Technical Support Engineering organization across LATAM Evaluate and launch new support locations within LATAM as customer growth requires Act as the owner for your team’s metrics and performance - partnering closely with upper management and HR on performance management and employee issues Provide strategic guidance and oversight to Managers on regional projects, ensuring their successful and timely completion. Lead regional hiring efforts to attract and retain top technical talent in competitive LATAM markets. Ensure that all quarterly hiring targets for the region and functional area are met Ensure the successful onboarding and development of Technical Support Engineers Drive cross-functional projects or initiatives to improve team productivity, process, or procedure Collaborate with internal teams and customers on high-priority escalations/incidents and act as a resource to resolve escalations from team members as necessary Conduct regular 1:1’s with team members to provide constructive feedback and skills development. Liaise with other groups throughout the organization (Sales, Customer Success, Engineering, Product) to tackle urgent

About the Role We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. Key Responsibilities Data Strategy & Roadmap Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates Systems Design & Solution Leadership Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns

P-1528 As a Staff Security Assurance Engineer within the Security Assurance Team, you will help lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives. You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard our customers. This role requires an active Top Secret Clearance, the ability to access and work within a SCIF environment, and residence within the Washington, DC metropolitan area. The impact you will have: Drive Project Outcomes: Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, federal authorizations, and compliance initiatives that expand Databricks’ reach across regulated and government markets. Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment. Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, Product, and Security teams to reach timely resolutions. Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile. Precision Program Management: Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting. Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance Team subject matter experts and technical stakeholders

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Support our team culture by working in the office 4 days a week (Monday - Thursday). This means you’ll have to live within commuting distance of the office you’ll be working in. Snowflake is seeking motivated people with a passion for technology and the drive to build an incredible career in SaaS sales. The Sales Development team plays a critical role in the growth of our organization. Our team works in collaboration with sales and marketing nurturing leads and setting qualified discovery calls that ultimately lead to new business and new revenue. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team ON DAY ONE WE WILL EXPECT YOU TO HAVE: A passion for technology and software sales