Senior Pre-Sales Systems Engineer, Enterprise - Massachusetts

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog's Service Management suite — spanning App Builder, Incident Management, Event Management, Workflow Automation, and On-Call — helps enterprises detect, triage, and resolve operational issues faster while automating the manual toil around incident response. As a Product Solutions Architect, you will partner closely with Datadog customers and the Service Management product team to design architectures, implement best practices, and drive adoption of App Builder, Incident Management, Event Management, Workflow Automation, and On-Call across customer environments. 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: Serve as the in-house subject matter expert for Datadog's Service Management products — App Builder, Incident Management, Event Management, Workflow Automation, and On-Call Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting Service Management, including designing on-call escalation policies, incident response workflows, event correlation pipelines, and custom internal tools with App Builder Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. What You Will Be Doing: You will join Beacon's Clinical Implementation team, reporting to the National Clinical Implementation Director. This is a remote, US-based individual contributor role anchored in our East territory, with travel to customer sites across your assigned region. The role does not carry direct reports, but you will mentor peers and newer specialists and may direct the work of others on implementation projects. You will own the clinical and operational implementation of Beacon's diagnostic solutions for assigned customers, guiding sleep labs, health systems, and provider organizations from contract pre-signature through confident, sustained daily use of our products. Day to day, that means delivering demos, building implementation plans, running clinical education and training, supporting go-lives, and coaching accounts through adoption after launch. This is not a traditional implementation role focused only on deployment and go-live milestones. Your impact is measured by sustained usage, behavioral adoption, and long-term workflow integration. At this level, your influence extends beyond your own accounts: you set the standards, playbooks, and best practices the broader team works from, and you help shape where the clinical implementation function goes over the next several quarters. The role is highly cross-functional and re

As Strategic Sourcing Manager of Direct Procurement, you will be responsible for Zoox’s strategic sourcing and industry partnerships, which includes working cross-functionally to understand needs for third-party engagement across the business, finding and evaluating potential partners and suppliers, drafting and issuing RFQs, leading the negotiation of all key terms and conditions as well as pricing, managing commercial and supply chain issues, identifying and executing on cost reduction opportunities, and overall management of third party relationships. You can operate independently and possess expertise in electronics, powertrain, chassis, body, safety systems, EV charging, fleet maintenance or capital equipment. In this role, you will: Lead procurement and partnership initiatives for vehicle direct materials (interiors, structural components, advanced hardware) and/or operations infrastructure (EV charging, vehicle maintenance, capital equipment) Proactively engage with Zoox stakeholders (incl. engineering, operations, manufacturing, strategy, finance, and design) to derive and execute the medium-term (3-5 years) business and technology roadmap to support Zoox’s vehicle development program and autonomous ride-hailing service Develop the supply chain and partnership footprint with a long-term, strategic view Lead the day-to-day process of ensuring successful partnerships (milestone adherence, change order management, quality assurance, cost control, etc.) and build supplier performance assessments to support future sourcing decisions Design, conduct, and synthesize supplier, industry, and market research Drive cost transparency and build total cost of ownership models to support sourcing decisions Ensure optimal contract coverage for the commodity/service in partnership with engineering and legal support Build and maintain strategic relationships with key suppliers as the lead point

Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects. Responsibilities Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time Build multi-modal foundation models for on-vehicle and offline applications Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Provide technical mentorship to the broader group of ML developers at Zoox Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying Deep Learning models on sensor data-Experience

Zoox made the world’s first purpose-built commercial robotaxi, combining advanced self-driving hardware and software. In order to ensure safe operation, low latency and consistent resource utilization are critical. The Planner Compute team is responsible for the performance of the largest single software component within the autonomy stack, the motion planner. The Planner Compute team is looking for an expert in GPU performance. You will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from machine learning inference to custom CUDA kernels written specifically for the motion planner. In this role, you will: Analyze performance metrics to identify GPU hotspots and optimizations Contribute to the adaptation of our current planner to multiple GPU architectures with different resources Optimize ML models for latency and GPU memory usage Support engineers within Planner as a subject matter expert on CUDA & GPU performance Qualifications BS in computer science or related field and 8+ years of experience. Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight. Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments. Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines). Bonus Qualifications GPU kernel development experience There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies onl

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. What you will be doing: Beacon Biosignals is looking for a Senior Product Manager to own the roadmap and day-to-day product decisions for our clinician- and site-facing web application, the primary way clinicians, clinical research sites, and trial teams interact with Beacon's machine-learning-enabled brain health platform. This role reports to the Manager, Web Applications. In this role, you’ll work within Beacon's Web Apps team to drive major development milestones for the next generation of Beacon's web applications for clinicians and clinical sites. You’ll shape product direction in partnership with the team’s manager and turn it into quarterly plans your team can execute against. You’ll be a clear, credible voice for the product with external users and internal stakeholders such as Beacon’s clinical, scientific, regulatory, and commercial teams. This is a remote position, with a preference for candidates based near Beacon HQ in Boston, or another Beacon hub (e.g., New York City). What success looks like: Build deep knowledge of clinicians, sleep technicians, site coordinators, investigators, and sponsor teams, and use it to ensure the roadmap reflects their real needs and Beacon's business goals. Own a single product that serves both diagnostic and clinical trial workflows, identifying where needs overlap and diverge, and make clear, well-reasone