Senior Engineer Deg Layout Jobs

Opportunity Overview: We are seeking a Senior Manager, Data Platform Engineering to lead a critical part of Cohere Health’s Data Platform team as we continue scaling our technology, engineering practices, and client delivery capabilities.This role combines people leadership, technical judgment, and strong execution ownership to build a high-performing engineering team and drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You’ll partner closely with Product, Engineering, Architecture, Client Delivery, and business stakeholders to build a scalable, trusted data foundation that supports Cohere’s continued growth. What you’ll do: Lead, coach, and develop a high-performing Data Platform engineering team through clear expectations, regular feedback, career development, performance management, and strong engineering leadership. Own execution across complex data initiatives, translating priorities into credible delivery plans with clear scope, milestones, owners, dependencies, capacity assumptions, risks, decisions, and target dates. Maintain accountability through delivery and proactively adjust plans when scope, capacity, dependencies, or technical complexity change. Establish strong delivery discipline by ensuring work is sufficiently defined, technically understood, estimated, sequenced, and ready before commitment; proactively address blockers, dependencies, scope changes, and capacity constraints, with clear mitigation and early escalation when commitments are at risk. Maintain sufficient technical depth to independently assess delivery and implementation risk, while partnering closely with Staff Engineers and other technical leaders to validate architecture, implementation approaches, estimates, technical readiness, root causes, and quality before key decisions or commitments are made. Build trusted cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and oth

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new (Senior) Data Scientist you'll join our team based in Aarhus, reporting to Eugene, our Senior Engineering Manager, working to bring data and machine learning into how we prevent fraud, manage risk, and grow the business. What will you do? Design, build, and deploy machine learning and statistical models across fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and sales and lead generation Build and operate experimentation and evaluation frameworks — using tools like MLflow and Metaflow — with strong test sets and benchmarks across projects Dive into data analysis and feature engineering to keep pushing model performance further Partner closely with data engineers, analysts, and business stakeholders to define requirements and turn insight into decisions Document models, methodologies, and results clearly, and bring the latest ML and GenAI advances into how Lunar builds What are we looking for in you? Experience developing and deploying machine learning models in a production environment Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience with cloud-based ML platforms such as AWS SageMaker or Kubeflow Solid grounding in machine learning, statistical modeling, and data analysis techniques — experience in financial services or another regulated industry is a plus Strong problem-solving and communication skills, with the ability to translate technical concepts into business in

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

Senior IT Administrator Location: Remote, USA About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end to end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms in managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise grade litigation AI. Backed by top tier VCs, we empower enterprise legal departments to move faster, mitigate risk, and push the boundaries of what technology can achieve. About the role Own our company-wide IT infrastructure and power AI-driven support across a fast-scaling team. In this role, you’ll take ownership of Syllo's corporate IT infrastructure. You will manage our hardware fleet, identity and access management, device provisioning workflows, and SaaS applications—ensuring our distributed team remains secure, productive, and supported. You’ll also leverage modern AI capabilities to scale internal IT support, automate issue reporting, and serve as a key technical partner as our team integrates new AI workflows into our tooling stack. Working closely with Security Engineering, you’ll embed the administrative and endpoint controls necessary to maintain our ISO 27001 and SOC 2 compliance standards. We are looking for a hands-on IT leader who brings strong technical judgment, proactive problem-solving, and a dedication to creating a smooth, secure employee experience. What you will do Own the corporate IT estate: Manage identity, endpoint devices, SaaS administration, and security posture across a distributed, multi-OS workforce. Scale support with AI: Implement and manage AI-driven workflows to automate ticketing, self-service s

Datadog Incident Response is an end-to-end incident operations solution native to Datadog’s unified observability and security platform. It brings the entire incident lifecycle — from alert to resolution — together in one place so engineers can respond fast with confidence instead of losing time switching between disconnected monitoring, paging, and incident tools. As a Senior Product Marketing Manager (PMM) - Incident Response, you will develop go-to-market strategy for new products and features, create the content that enables our sales and partner teams, and touch on all areas of the business while helping move Datadog forward. We give our Product Marketing Managers the opportunity to collaborate, investigate, and idealize how we can gear our product strategy to yield the highest results. 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: Develop and drive the go-to-market strategy for Datadog Incident Response products, such as Incident Management, On-Call, and Incident AI as an expert of your product area. Create quarterly GTM plans with input and alignment from from cross-functional stakeholders that map to Incident Response business objectives. Launch new features with compelling messaging and positioning, developing assets such as slide decks, blogs, product demos, webinars, and solution briefs. Develop high-impact sales enablement assets (battlecards, pitch decks, demos) grounded in deep market and competitive insights. Partner with cross-functional teams to execute campaigns across webinars, paid media, organic channels, and sponsored events. Drive customer marketing initiatives including case studies, testimonials, and storytelling that showcase customer value and outcomes. Identify new growth opportunities and creative ways to accelerate adoptio

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Job Responsibilities: ​ Oversee strategic HR planning and daily operations management for the Malaysia region, serving as a strategic partner to business units to drive the implementation of HR initiatives. Manage end-to-end recruitment processes, lead hiring for key positions, conduct background checks, and ensure smooth onboarding to achieve timely staffing. Optimize employee lifecycle processes, including orientation, probation assessment, internal transfers, and offboarding, ensuring full compliance with Malaysia labor laws and regulations. Develop and implement the employee training and development framework, assist departments in designing training plans and specialized capability enhancement programs, and evaluate training effectiveness through feedback and performance metrics. Drive employee care programs, handle day-to-day employee relations, foster a positive and healthy workplace environment, and prevent and resolve labor-related risks. Stay updated on changes in Malaysia employment legislation, and continuously improve HR policies and procedures to ensure compliance. Maintain local HR systems and data, and utilize analytics to support management decision-making. Qualifications: ​ Bachelor’s degree or above in Human Resources Management, Business Administration, or a related field. Minimum 8 years of HR experience, with at least 3 years in a team management role. Prior experience in full-spectru

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Key Responsibilities​ 1. End-to-End Recruitment Execution:​ Independently manage the full-cycle recruitment for full-time positions across various functions in Malaysia, including requirement analysis, channel sourcing, interview coordination, salary negotiation, and background checks. 2. Channel Development & Maintenance:​ Effectively utilize and expand local mainstream recruitment channels (e.g., JobStreet, LinkedIn, Ricebowl, employee referrals) to build and maintain a key talent pool. 3. Business Collaboration:​ Work closely with hiring managers, providing professional recruitment advice, market insights, and effectively managing the recruitment process and expectations. 4. Candidate Experience & Employer Branding:​ Deliver a professional and positive candidate experience throughout the recruitment journey and proactively communicate company culture and values at all candidate touchpoints. 5. Data Analysis & Process Optimization:​ Maintain recruitment data, provide regular recruitment reports, analyze hiring efficiency and channel effectiveness, and propose optimization recommendations. Requirements​ 1. Experience:​ 3 years of full-cycle recruitment experience. In-house (corporate) recruitment experience is preferred. Must have proven successful recruitment experience in the local Malaysian market.​ 2. Knowledge & Skills:​ • Familiar with Malaysian labor laws, employment contracts, and local market c

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Senior Regulatory Data & Reporting Specialist you'll join the Capital & Regulatory Reporting team based in Copenhagen, reporting to Meinhard — bringing your regulatory reporting expertise into a role where you'll translate regulatory frameworks into the system logic, calculation rules, and requirements that our reporting runs on — driving quality review and gap analysis across our reporting perimeter, and helping position CRR as the internal SME that Lunar's product and tech teams build with. The CRR team carries a wide mandate: financial regulatory reporting, capital and liquidity governance, and Treasury controls. In practice, that means safeguarding the bank's financial integrity, ensuring regulatory submissions meet the standard that regulators, investors, and our customers can rely on. We're expanding the team — you'll be one of two specialists sharing ownership of financial regulatory reporting. We don't operate in silos — capital and liquidity governance and Treasury controls sit within the same team, and you'll gain exposure to all areas, whilst focusing on regulatory reporting. Cross-coverage is built into how we operate, regardless of who is in the office. What will you do? Quality review & mapping. Validate calculation logic and data sources against regulatory source text — CRR, CRD, and EBA guidelines — identify gaps, and document findings as validated methodology, SOPs, and concrete improvement requirements. Requirement-setting. Translate regu

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Senior Product Manager for APM, you will own product strategy and drive execution across Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will set direction for a critical area of the roadmap, work closely with senior engineering and design leadership, and influence how APM evolves across the broader observability platform. You'll be relied on to make sound, independent product judgment calls with limited oversight, mentor other product managers, and represent APM in cross-org and executive conversations. 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 will Do: Own the product strategy and long-term vision for a core area of APM, grounded in deep understanding of customers, their performance challenges, telemetry workflows, and the competitive landscape Lead strategic conversations with design partners and key customers to uncover complex p

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. Lyft Infrastructure builds the systems engineers depend on to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to run cross-functional programs across our infrastructure and data platform teams. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer back into how we build. Responsibilities Run infrastructure programs end to end, from kickoff through delivery Own the roadmap for your platform area: shape the strategy, sequence the work, and make the prioritization calls Drive data platform migration and modernization work, coordinating across engineering, data, and platform teams to keep dependencies and timelines under control Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Build feedback loops with customer teams and turn what you hear into concrete improvements Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background in distributed systems and data infrastructure to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience 5+ years in Technical Program Management or a TPM/PM hybrid role A background in software, data, or systems engineering, enough to go deep with engineers Experience owning a roadmap: setting strategy, prioritizing across competing demands, and defining what suc

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality. What you'll do: Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals. Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement. Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure. Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences an

P-1562 As a Leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents. The Impact You Will Have Hire, onboard, and develop a top-tier team of designated support engineers (DSE) Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs. Contribute to program enhancements and offerings tailored to evolving customer needs Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction Conduct internal and external Support Experience QBRs What We Look For 15+ years of industry experience, with at least 6+ years of management experience Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles Ability to work with strategic customers, driving multiple competing priorities Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP) 5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, a

Über uns: Wer/Was ist Artefact? Artefact ist eine weltweit führende Beratung für Daten- und KI-Dienstleistungen mit Hauptsitz in Paris. Mit mehr als 2.000 Consultants, Data Scientists und Engineers in 26 Ländern arbeiten wir mit den globalen Marktführern zusammen. An unseren deutschen Standorten befinden wir uns auf einem rasanten Wachstumskurs. Wir beraten führende nationale und internationale Kunden branchenübergreifend dabei, das volle Potenzial ihrer Daten auszuschöpfen, skalierbare Datenarchitekturen aufzubauen und innovative KI-Lösungen zu implementieren. Als Senior Consultant (m/w/d) Data & AI Strategy stehst du im Mittelpunkt dieser Mission. Du lieferst nicht nur statische Präsentationen, sondern schlägst die Brücke zwischen technologischen Möglichkeiten und geschäftlichen Anforderungen. Dabei begleitest du unsere Kunden von fokussierten Kurzzeit-Projekten im gehobenen Mittelstand bis hin zu mehrphasigen KI-Transformationen in Großkonzernen. In dieser Rolle übernimmst du die Verantwortung für crossfunktionale Workstreams, treibst datenbasierte Entscheidungen voran und gestaltest die digitale Zukunft unserer Kunden aktiv mit. Das erwartet dich bei uns: Kundenberatung & Strategie: Du arbeitest eng mit (internationalen) Kunden zusammen, verstehst deren geschäftliche Anforderungen und übersetzt diese in datengestützte Empfehlungen, die strategische Entscheidungen und die Business Transformation unterstützen. Daten & Analyse: Du sammelst, strukturierst und bereitest Daten für Analysen auf. Mit Tools wie Excel, SQL und Python identifizierst du Trends, Muster und konkrete Handlungsempfehlungen und kommunizierst diese klar an technische sowie nicht-technische Stakeholder. Projektumsetzung: Du übernimmst die Verantwortung für Projekt-Workstreams und stellst eine qualitativ hochwertige, termingerechte Lieferung im Einklang mit den übergeordneten Projektzielen sicher. Dabei arbeitest du kollaborativ in interdisziplinären Teams aus den Bereichen Consu

Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Senior Data Scientist to join a verification and validation team that evaluates safety-critical AI systems. You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects. In this role, you will: Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability. Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures. Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions. Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies. Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation. Scale Pipelines

Our Product Management team drives product initiatives from inception through execution, makes impacts and launches products/features across our global footprint. We collaborate closely with engineers, designers, analysts, marketers, and other cross-functional team members to ship remarkable features and products. Role Overview We are looking for a Senior Product Manager, Trading to own trading products on the Crypto.com App end-to-end. Retail trading is where users feel the product every day - and where volume, engagement, and retention compound. Every improvement you ship shows up in how people trade, how often they come back, and how Crypto.com wins share in a crowded market. Your mandate is to drive trading products from discovery through launch and iteration: roadmap clarity, feature definition, customer insight, and shipping at global scale. You will run your roadmap with independence within Trading's strategic priorities. You prioritize initiatives, cut tradeoffs, and make the call on what ships when. You report to the Senior Director of Product Management, who sets strategic direction. You own the how and the when. If you've shipped trading or financial products at scale, this will feel familiar. The difference is you'll be doing it at the frontier of crypto retail trading- perpetuals, spot, and adjacent markets- where the rails keep moving and the playbook is yours to write. No layers. No politics. What You'll Actually Do: Own the Trading roadmap. You set milestones, surface dependencies, and keep strategic priorities honest. You make the prioritization call when everything can't ship at once. Define and ship trading experiences. You write the specs, run user studies, iterate on feedback, partner with QA on test plans, and clear the backlog. Nothing in your charter goes live without your sign-off. Stay close to how traders actually behave. You interview and observe customers. You ask "Show me how you currently