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Lead Full Stack Software Engineer Application Development Jobs

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Location : Come and join us in Hamburg or Berlin! Following Lyft’s acquisition of Freenow, we are looking for a Senior TPM to lead the technical workstreams that get us to Day 1 readiness — the period between signing and closing — and to set up the integration that follows. This is a high-stakes, high-visibility role reporting into the EU Tech Leader, with direct exposure to Freenow and Lyft leadership. You will be the single point of accountability for technical Day 1 readiness. That means making sure every employee, every office, and every critical system is ready to operate underFreenow by Lyft from the moment the deal closes — and that the integration stream is up and running the day after. You will also be the TPM accountable for the integration of future acquisitions Freenow makes. This is not a role for someone who wants to administer a project plan. You are expected to be technically credible, opinionated, and comfortable holding senior people to account across IT, Security, Infrastructure, Engineering, Legal, People, and Finance. You make decisions when others stall, escalate cleanly when you can’t, and keep the whole machine moving. YOUR DAILY ADVENTURES WILL INCLUDE: Day 1 readiness. Own the end-to-end technical readiness plan between signing and closing. Define what “ready” means, track every workstream against it, and call the go/no-go on technical readiness for Day 1. IT and workplace cutover. Coordinate identity and system access (SSO, IdP, mail, productivity suite, engineering tooling), hardware provisioning and re-imaging, and office setup including network, VPN, Wi-Fi, meeting rooms, and physical access. Make sure nobody shows up on Day 1 unable to work. Security and compliance posture. Partner with Security and Legal to make sure the technical environment meets the new shareholder’s requirements on Day 1 — access controls, data handling, audit trails, vendor relationships. Integration stream kickoff. Stand up the technical integration workstreams

SLSQ427R332 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. As an Enterprise Account Executive at Databricks, you come with relevant experience selling to Enterprise accounts. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Enterprise Sales Benelux. The impact you will have: Assess your territory and develop a successful execution strategy Drive quarter-on-quarter consumption growth in existing accounts Exceed activity and quarterly revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Ensure 100% satisfaction among all customers What we look for: Good understanding of the data platform and cloud ecosystems Some exposure to the software industry and understanding of selling SaaS, Data and Business Value Experience growing consumption and closing commit deals in a direct sales role Competent with prospecting research and ability to map out key stakeholders Advanced understanding of MEDDPICC Experience exceeding sales targets/quotas Bachelor's Degree or relevant work experience Fluency in English is require

aisalesforceExcel
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GW
4mo ago

Opportunity Get Well (GW RhythmX) is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s healthcare platform. This role requires deep technical expertise in large language models (LLMs), multimodal AI systems, agentic frameworks, and voice technologies—including STT (speech-to-text) and TTS (text-to-speech). As a Staff-level technical leader, you will guide the AI engineering lifecycle from conceptualization to deployment at scale while serving as a key cross-functional partner to product, engineering, and clinical teams. This is a high-impact, hands-on role for a forward-thinking AI expert with a strong understanding of emerging agentic systems and best practices in safety, observability, and machine learning operations in regulated environments. Responsibilities Healthcare-Focused AI System Design & Development Architect and develop production-ready AI models trained on real-world clinical datasets sourced from hospital systems, EHRs, and patient engagement platforms. Partner with clinical informatics and product teams to derive insights from structured and unstructured health data, including FHIR, HL7, CCDA, and EHR notes. Design and train speech-to-text (STT) and text-to-speech (TTS) models to power voice-enabled AI applications and virtual assistants in a healthcare setting. Integrate and optimize agentic systems using frameworks such as LangChain, LangGraph, or CrewAI for autonomous decision-making and workflow automation. Drive the end-to-end development lifecycle—from data prep and model training to evaluation, deployment, and monitoring—ensuring responsiveness and efficiency in high-impact healthcare settings. Evaluate and incorporate emerging AI technologies and architectural tools to improve intelligence, personalization, and user experience. Infrastructure Optimization & MLOps Lead the model lifecycle from ingestion and p

pythonazuremachine learning
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FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship

pythonsqlaws
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AG
Adani Group
📍 Ahmedabad• Full-time
4mo ago

The DevSecOps Engineer – AI Labs is responsible for implementing security practices within the DevOps pipeline, ensuring secure, efficient, and scalable cloud and on-premise infrastructure. Reporting to the Lead - DevSecOps, this role focuses on deploying and automating security controls, monitoring infrastructure for vulnerabilities, optimizing CI/CD security, and supporting FinOps cost optimization efforts. The position requires hands-on experience in security automation, cloud security tools, and DevOps best practices, ensuring AI-driven applications remain secure, compliant, and cost-efficient. Source: Adani Group | Job ID: 44279

ci/cdaidevops
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About the opportunity We are seeking a hands-on, strategic Senior Product Manager - Ops Automation & Enablement (OAE) with a passion for building the intelligence and systems behind world-class banking operations. This is a true builder’s role: you will lead the strategy, design, delivery, and enterprise-scale adoption of Agentic AI, hyperautomation, process mining, and internal tooling to reshape how complex, control-intensive Banking Operations are executed. You will work cross-functionally with product managers, engineers, data scientists, and operational leaders to ensure N26 can scale aggressively across markets and product offerings without proportional headcount growth—all while maintaining the strict regulatory and quality standards our customers expect. In this role, you will: Lead Enterprise Transformation & Agentic AI Adoption: Architect AI Workflows: Design, deploy, and govern E2E, multi-step Agentic AI solutions and automations that target high-volume processes, cross-team friction, and manual back-office tasks. AI Champion: Act as the primary AI Champion for Banking Operations: translating complex ML/AI concepts into practical, working systems rather than just talking about them. Change Management & Value Realization: Identify structural and behavioral barriers to adoption; design frameworks that embed new AI capabilities into day-to-day operations and team decision-making. End-to-End Operating Model & Process Intelligence: Process Mining Re-Engineering: Lead structured process capture, process mining, and workflow mapping. Evaluate opportunities to completely redesign end-to-end workflows rather than merely automating existing inefficiencies. Core CRM & Platform Integration: Partner with Conversational Banking and Platform owners to optimize Salesforce (our core case-management backbone) and integrate AI agents with our central architecture and AWS infrastructure. Operational Efficiency & ROI: Define and track clear metrics for

sqlawsai
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About the opportunity We are seeking a hands-on, strategic Senior Product Manager - Ops Automation & Enablement (OAE) with a passion for building the intelligence and systems behind world-class banking operations. This is a true builder’s role: you will lead the strategy, design, delivery, and enterprise-scale adoption of Agentic AI, hyperautomation, process mining, and internal tooling to reshape how complex, control-intensive Banking Operations are executed. You will work cross-functionally with product managers, engineers, data scientists, and operational leaders to ensure N26 can scale aggressively across markets and product offerings without proportional headcount growth—all while maintaining the strict regulatory and quality standards our customers expect. In this role, you will: Lead Enterprise Transformation & Agentic AI Adoption: Architect AI Workflows: Design, deploy, and govern E2E, multi-step Agentic AI solutions and automations that target high-volume processes, cross-team friction, and manual back-office tasks. AI Champion: Act as the primary AI Champion for Banking Operations: translating complex ML/AI concepts into practical, working systems rather than just talking about them. Change Management & Value Realization: Identify structural and behavioral barriers to adoption; design frameworks that embed new AI capabilities into day-to-day operations and team decision-making. End-to-End Operating Model & Process Intelligence: Process Mining Re-Engineering: Lead structured process capture, process mining, and workflow mapping. Evaluate opportunities to completely redesign end-to-end workflows rather than merely automating existing inefficiencies. Core CRM & Platform Integration: Partner with Conversational Banking and Platform owners to optimize Salesforce (our core case-management backbone) and integrate AI agents with our central architecture and AWS infrastructure. Operational Efficiency & ROI: Define and track clear metrics for

sqlawsai
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SLSQ227R829 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: Drive Revenue Growth Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. Execute and scale repeatable sales plays that drive land-and-expand adoption. Lead and Develop the Specialist Team Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. Foster a culture of accountability, execution, and custome

SLSQ227R829 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: Drive Revenue Growth Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. Execute and scale repeatable sales plays that drive land-and-expand adoption. Lead and Develop the Specialist Team Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. Foster a culture of accountability, execution, and custome

About This Role As a Commercial Account Executive (CAE) Manager at Sigma Computing, you’ll lead a team of high-energy reps focused on delivering outstanding results in the EMEA region. You’ll mentor and coach your team to excel in a velocity sales environment, partnering with customers and internal stakeholders to drive growth and expand Sigma’s footprint. This role is ideal for a passionate leader eager to contribute to the growth of a rapidly scaling business in the Data and BI space. Who You Are A driven, hands-on leader with a passion for coaching and empowering teams to achieve their goals. A natural collaborator with a strong sense of ownership and accountability. Organized and detail-oriented, thriving in fast-paced, dynamic environments. A trusted advisor to both your team and your customers, focused on delivering value and building lasting relationships. What You Care About Building and scaling high-performing sales teams. Coaching and mentoring team members to achieve and exceed their targets. Driving customer success and satisfaction through streamlined, efficient sales processes. Being part of an innovative, mission-driven company reshaping the BI landscape. You’ll Contribute By Leading and mentoring a team of CAEs targeting organizations with up to 2000 employees. Driving revenue growth and achieving team targets through a streamlined and scalable sales motion. Partnering with internal teams to align on go-to-market strategies and operational excellence. Establishing and refining best practices for prospecting, pipeline management, and deal closure. Acting as a trusted advisor to both customers and Sigma’s leadership team. Leveraging your expertise to ensure the team excels in a velocity sales environment. Your Qualifications Experience : Few years of experience managing a successful commercial sales team in a B2B SaaS/software company, OR Few years of individual contributor experience in a velocity B2B SaaS sales role with proven results

pythonsqlartificial intelligence
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Position Summary: The Demand Planning Manager leads the development of accurate forecasts across all retailers and channels and control inventory to support brand potential while minimizing excess and obsolete. Reporting to the US Planning Lead, this role will be accountable for consolidating marketing strategy, commercial plans, and customer demand signals into a forecasted unit and sales plans that supports inventory allocation, replenishment, and financial performance. The role is a key leader in brand S&OP and partners closely with Sales Operations, Marketing, Strategy, HQ Supply Chain Innovation, and HQ Demand Supply Planning teams. Key Responsibilities: Demand & Supply Planning Develop 12-month bottoms-up demand forecasts for existing and new products using historical data, sales trends, and marketing campaigns at channel level Manage planning for new product launches, including supply timeline, initial forecast projections, and performance tracking. Monitor forecast accuracy and identify root causes of variance, implementing corrective actions as needed. Develop case studies on successful forecast and planning and improve forecast accuracy Lead initial order and projection alignment for new product launches and seasonal transitions Analyze impact of door increases, new retail partners, and trend changes. Support pre‑promotion/season planning, in‑promotion/season reforecasting, and post‑promotion/season analysis for relevant products Collaborate closely with cross-functional teams to align on demand targets, latest estimates, and investment/promotion expectations. Model inventory impact of discontinuations and resets influencing the organization to minimize returns and obsolete inventory. Contribute to the inventory targets for the brand, monitor performance and drive actions to hit targets. Track and meet inventory targets and size to support demand, phase-in & -out, while minimizing excess and slow-moving stock and improving out-of-

SAPExcelfinance
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SLSQ227R830 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialist, to lead a team of specialists responsible for growing the Databricks Lakebase business in Japan. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: Drive Revenue Growth Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. Execute and scale repeatable sales plays that drive land-and-expand adoption. Lead and Develop the Specialist Team Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. Foster a culture of accountability, execution, and cu

D
4mo ago

SLSQ227R822 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: Drive Revenue Growth Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. Execute and scale repeatable sales plays that drive land-and-expand adoption. Lead and Develop the Specialist Team Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. Provide direct, hands-on coaching on complex d

P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based ou

pythonjavasql
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About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Senior Product Safety & Compliance Engineer – Medical Devices NPD Compliance – Medical Devices & Consumer Products The Senior Product Safety & Compliance Engineer partners directly with global product development teams and certification partners on all aspects of regulatory compliance and product certification. This is a senior, high-ownership role: you will lead multiple certification projects from product concept to mass production, ensure all market access requirements are met, and drive product designs to incorporate appropriate risk mitigation. The role spans FDA-regulated medical devices and products subject to EU MDR 2017/745 alongside our consumer and commercial portfolio and includes mentoring junior engineers. What You'll Do Own certification activities and risk analysis for multiple new product development projects, including FDA-regulated medical devices an

aiauditingsupply chain
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