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Job Description At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery. As an iOS Software Engineer I, you will build on WHOOP’s generative AI capabilities to develop and maintain exciting, member-facing features that drive meaningful health outcomes. You will play a vital role in delivering personalized insights across WHOOP and work alongside experienced engineers, designers, and product managers to help members better understand their health, optimize performance, and gain clarity throughout their WHOOP journey. RESPONSIBILITIES: * Work in a cross functional team that collaborates closely with the data science, product, and software engineering teams at WHOOP * Utilize knowledge of Swift to develop and maintain product features and communicate with a RESTful backend * Document new features and architecture * Contribute to new feature ideation, planning, and development * Analyze and monitor user metrics and feedback to determine crash rate or potential bugs and to improve engagement * Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store * Self organize using productivity tools such as Jira, Confluence, and Github * Stay up to date with the latest Apple frameworks and best practices * Lead and contribute to new feature ideation, planning, and development QUALIFICATIONS: * Product minded engineer with empathy for the member experience * Experience in building, testing, debugging, and delivering native iOS apps in a professional environment. * Experience with Swift and iOS frameworks such as SwiftUI, UIKit, AutoLayout, Interface Builder, XCTest * Familiarity with MVVM/Viper architecture * Knowledge of iOS memory management and concurrency (Swift Concurrency & GCD) * Experience developing libraries/frameworks and tooling that are used by other developers. * Knowledge of Xcode, Fastlane, Swift Package Manager, CocoaPods, and debug tooling. * Experience communicating with a RESTful backend. * Willingness to learn and grow rapidly across iOS and external systems. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $105,000-$145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job DescriptionSenior Full Stack Engineer (Node.js / TypeScript) - Hybrid MUST HAVE A STRONG BACKGROUND WITH NODE, REACT, AND TYPESCRIPT Job Title: Senior Software Engineer Job Location: Boston, MA - 3 days / week on-site Salary: $170k-$200k + Bonus, Options package, 401k, benefits, etc. Requirements: 7+ years in software development with a focus on Javascript - Typescript, Node, React This is a full time / permanent position for a 100+ person SaaS company with over $200M+ in total funding and more than 30M in ARR The real estate software is relied on by over 400,000 users for managing commercial properties. They develop products for both consumers and enterprises. Due to consistent demand, they are continuing to scale and hiring for multiple Javascript (React / Node) engineers. Key Responsibilities • Design systems and APIs that power software, creating dynamic applications, • Provide technical leadership, defining, developing, and evolving software in a fast-paced, agile environment using the latest technologies and infrastructure., • Write high-quality code that delivers desired functionality with a focus on performance., • Develop, maintain, create testing strategies, and participate in design discussions for our APIs, primarily written in NodeJS and hosted on AWS., • Collaborate with product management to translate requirements and vision into prioritized user stories, delivering to timelines and quality standards., • 7+ years of experience in software development, • Proficiency in JavaScript - Node / Typescript / React, • Familiarity with SaaS solutions and startup environments is preferred., • AWS, • Docker / Kubernetes is a plus, • Competitive Salary ($170k-$200k) + Bonus + Equity, • Hybrid - 2 days / week remote, • Benefits - Health, Dental, etc., • PTO and paid holidays, • 401k, • Opportunities for growth and long-term employment • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 05/11/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: This position will serve as a technical leader responsible for the end-to-end mission processing and data storage capability and the integration of mission critical subsystems on an advanced next-gen unmanned aircraft, including payloads, communications, avionics, weapons, and associated support systems. This individual will shape the technical direction of programs, ensuring that the aircraft deliver decisive mission capabilities through robust, integrated, and certifiable system designs. In this role, the engineer will drive mission system architectures, lead requirement development and allocation, and oversee system integration from concept through flight test and fielding. They will ensure that mission processing, avionics, payloads, avionics, and weapons are seamlessly integrated into the aircraft while meeting mission performance, safety, airworthiness, and compliance objectives.What You'll Do: • Lead system architecture and requirements development and integration for communications, payloads, avionics, and weapons integration, • Serve as a technical subject matter expert for mission processing and architectures across the aircraft program, • Write system specifications for acquiring hardware and software from vendors for mission processing and storage subsystems., • Drive trade studies and system-of-systems analysis to balance performance, cost, and schedule, • Oversee integration and test campaigns, from bench-level hardware-in-the-loop (HIL) to flight test, • Ensure compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards, • Collaborate with program management to de-risk architectures and ensure technical maturity gates are met, • Interface with customers, partners, and suppliers to align system requirements and certificationsRequired Qualifications:, • B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, • 8+ years of relevant aerospace/defense experience, with at least 5 years in mission systems integration, • Demonstrated experience with aircraft payloads, avionics, and/or weapons integration, • Demonstrated experience with line-of-sight and beyond line-of-sight aircraft communications systems and components, • Working knowledge of Government modular open system approach (MOSA) standards to include open mission systems (OMS), Government Reference Architectures (GRA) or modular avionics standards., • Proven ability to lead multidisciplinary teams and deliver complex systems to fielded capability, • Strong knowledge of systems engineering processes and product development lifecycle, • Familiarity with DO-178C/DO-254 certification requirements for software and hardware, • Excellent communication skills and ability to brief technical findings to executives and customers, • Active Secret clearance and have the ability to obtain a Top Secret clearancePreferred Qualifications:, • Master’s or PhD in Aerospace, Systems, or Electrical Engineering, • Hands-on experience with flight test operations and mission system validation, • Direct experience integrating advanced sensors, autonomy, AI-enabled payloads, or guided weapons, • Background in model-based systems engineering (MBSE) and SysML tools, • Strong knowledge of current aircraft mission systems vendors and capabilities Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:As a Senior Staff Systems Engineer on Shield AI’s next gen UAS program, you will play a pivotal role in designing, developing, and integrating cutting-edge autonomous aircraft systems for national defense. You will lead the technical execution of system architecture, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission-critical systems. This position requires a deep understanding of aerospace systems engineering, autonomy, and complex system integration. You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and manufacturing to develop a scalable, mission-ready platform capable of operating in contested environments. Your expertise will be critical in defining system requirements and architectures through model-based systems engineering, conducting trade studies, ensuring compliance with military and aviation standards, and supporting the aircraft through flight testing and operational deployment.What You'll Do: • Perform System Architecture & Design: Develop and refine the system architecture for the next gen UAS, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission systems., • Define and document system-level behavior, including modes, states, transitions, and fault responses, • Support safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions, • Define and Manage System Requirements: Establish top-level requirements, decompose them into subsystems, and maintain traceability across the development lifecycle., • Autonomy & AI Integration: Work closely with autonomy and software teams to integrate AI-driven flight control, decision-making, and mission execution capabilities., • Model-Based Systems Engineering (MBSE): Utilize SysML, DOORS, or other MBSE tools to create digital system models, conduct trade studies, and optimize system performance., • Risk Management & Trade Studies: Conduct trade studies to evaluate design alternatives, assess technical risks, and ensure the best engineering solutions for mission effectiveness., • Stakeholder & Customer Engagement: Work closely with DoD stakeholders, industry partners, and government agencies to align system capabilities with operational requirements., • Cross-Functional Collaboration: Partner with hardware, autonomy, software, propulsion, and flight operations teams to drive seamless system integration and rapid development cycles.Required Qualifications:, • 10+ years of experience in systems engineering for aerospace, defense, or autonomous aircraft systems., • Demonstrated experience defining system behavior logic and operational modes, • Deep expertise in system architecture, avionics integration, and autonomy-driven flight systems., • Proficiency in MBSE, DOORS, SysML, CAMEO, or similar system modeling tools for complex systems design and analysis., • Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms., • Strong background in flight testing, system integration, and performance validation., • Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards., • Demonstrated ability to lead cross-functional teams and drive complex projects to successful completion., • Ability to work in a fast-paced, agile development environment with shifting priorities., • Worked on developmental program from clean sheet to first flight Preferred Qualifications:, • Experience developing AI-driven autonomy for unmanned aircraft., • Expertise in ISR, EW, and advanced sensor integration for airborne platforms., • Familiarity with modular open system architectures (MOSA) and Government Reference Architectures (GRA) for defense applications., • Prior experience working with defense primes, DoD stakeholders, or government R&D programs. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as the Senior Director of Engineering, this role is responsible for our mission critical products. You will lead a high-impact engineering organization of 10-15 people. This role requires a versatile leader who can directly manage core teams while simultaneously coaching and scaling other teams through a direct-report Engineering Manager. Your work will help to: • Drive the comprehensive platform strategy and execution that will serve as the core technological enabler for next-generation, AI-based services. This platform is foundational to injecting intelligence and automation across the entire clinical trials life cycle, from protocol design and site selection to patient recruitment, data management, and regulatory submission., • Lead the development of "Steel Threads": end-to-end working software deployed to production that solve specific, high-friction site use cases (e.g., simplifying patient enrollment or site-specific study instructions)., • Oversee the acceleration strategy to enable continuous delivery without additional risk, ensuring the Site App remains performant and reliable, all while operating in a highly regulated industry.What You'll Be Working On, • Work with Product Management and Design to shape the product., • Work with your leads and architects to build a platform that can scale and rapidly meet business objectives. This role is an active participant in the architectural design of the product., • Contribute to the construction of a technical roadmap., • Recruit, hire and retain engineers, • Influence our organizational design as we rapidly scale the engineering team., • Foster a healthy and collaborative culture that embodies our team values., • Create lasting change in all aspects (people, process and technology) that will enable the organization to achieve rapid product deliveryWhat You'll Bring to OneStudyTeam, • You take an empathetic approach towards leadership., • While you are not expected to be developing, as a former engineer, you can hold your own in technical conversations., • Engineering management experience with a strong track record of rapidly shipping products on schedule with Agile processes., • An innate ability to not just lead your teams but effectively influence the broader organization. You are the person who former employees want to work for again!, • Strong knowledge and experience leveraging SaaS based engineering principles., • Experience working remotely. We have a distributed engineering team with remote-first processes., • A deep desire to learn the domain in support of your ability to lead your organization. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job Description:\n\n At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.The Role You'll Play: As Lead Product Manager, Professional Services, you'll operate at the intersection of product strategy, customer need, and commercial opportunity—helping to shape solutions that extend our product portfolio and support strategic customer outcomes.Define and drive the product approach for Professional Services-led opportunitiesIdentify where customer needs can be solved through scalable product extensions, configuration, or targeted enhancements.Evaluate opportunities through the lens of customer value, strategic fit, implementation complexity, and long-term maintainability.Help shape a thoughtful path forward for requests that sit adjacent to—or outside of—the existing roadmap.Bring product rigor to opportunities that are often cross-functional, time-sensitive, and not always neatly defined within the existing roadmap.Partner across Product, Engineering, Sales, Customer Success, and Professional ServicesTranslate customer-driven requests into clear product decisions, recommendations, and next steps.Collaborate closely with cross-functional stakeholders to align on priorities, trade-offs, and execution plans.Build strong rapport with internal counterparties to move highly horizontal opportunities forward across the product portfolio.Use first-principles thinking to solve ambiguous problemsBreak down loosely defined asks into clear problem statements and practical solution paths.Determine what a "good enough" solution looks like based on customer need, available tools, technical constraints, and business urgency.Balance speed and flexibility with product quality, scalability, and roadmap integrity.Bring clarity and structure to roadmap-adjacent workAdd product discipline to opportunities that may begin with limited discovery or incomplete requirements.Help distinguish between one-off customer requests, repeatable product patterns, and strategic platform investments.Create clarity around ownership, scope, and the right level of investment for each opportunity.Lead initiatives from definition through execution and launchDrive work from early opportunity sizing and problem framing through delivery, launch, and iteration.Partner with Engineering and Design to ensure solutions are feasible, intuitive, and high quality.Maintain strong cross-functional alignment and clear communication throughout the product lifecycle.Use data and customer insight to guide decisionsBring data fluency to reporting, analytics, and customer-specific insight requests.Use qualitative and quantitative inputs to shape prioritization, validate solutions, and measure outcomes.Support reporting-heavy or analytics-driven opportunities with confidence and precision.Help build a repeatable Professional Services product modelContribute to a more consistent approach for evaluating and delivering strategic customer extensions.Help the organization balance custom opportunity work with scalable product investment.Ensure Professional Services-led efforts stay aligned with the broader B2B software product strategy.Experience You Bring:6–10 years of product management experienceStrong experience in B2B SaaS, platform, or operational software environments.Proven ability to lead both discovery and execution across complex product areas.Comfortable operating in fast-moving environments where priorities may evolve quickly.A track record of solving ambiguous, cross-functional product problemsExperience turning loosely defined requests into thoughtful, high-impact solutions.Ability to navigate opportunities that span multiple teams, systems, or product domains.Sound judgment in deciding when to push for scale, move quickly, or constrain scope.Strong first-principles thinking and product judgmentAbility to assess trade-offs and determine what "good enough" looks like in context.A practical mindset that balances speed, customer value, maintainability, and long-term strategy.Confidence making progress in situations where discovery is incomplete or evolving.Experience partnering with customer-facing teams on strategic opportunitiesWorked closely with Sales, Customer Success, and/or Professional Services on customer-driven requests.Able to translate commercial asks into clear product thinking and actionable execution paths.Understands how to support strategic customer needs without losing sight of long-term product direction.Excellent cross-functional collaboration and influenceStrong relationship-building skills across Product, Engineering, Design, and go-to-market teams.A reputation for being collaborative, helpful, and effective in horizontally scoped work.Ability to influence without direct authority and create momentum across teams.Strong data fluencyComfortable working with reporting, analytics, and data-driven product questions.Able to use quantitative insights to support prioritization, problem diagnosis, and solution validation.Experience with custom reporting, analytics-heavy workflows, or customer-specific data needs is a strong plus.A high-ownership mindset and bias for actionBrings structure to ambiguity and helps teams move forward with clarity.Operates with urgency while maintaining sound product judgment.Focuses on delivering outcomes, not just generating ideas.A balanced product background is a plusIdeally brings experience in consumer product earlier in their career and B2B product more recently.Understands both user experience craft and the commercial motions required in B2B environments.Can bridge customer empathy, product intuition, and business pragmatism effectively.A practical, customer-centered approachEmpathy for customers and the challenges they face in real operating environments.A collaborative approach to solving complex problems in ways that are useful, scalable, and aligned with the business.Strong instinct for building solutions that work for both customers and the broader platform. About the Role We're seeking a Senior Product Manager, Platform to serve our internal product development squads and help guide us towards the platform of the future for Playlist. This role sits at the intersection of developer experience, infrastructure, security, and software development lifecycle (SDLC) operations. You'll work cross-functionally with engineering, SRE, security, and application teams to deliver intuitive, scalable, and secure platform capabilities that accelerate developer productivity and enable our business objectives.What You'll DoDeveloper Engagement & AdvocacyBe the voice of our internal developers. Collect pain points, usage patterns, and feedback from engineering teams across Mindbody to develop an informed POV on the biggest opportunities for Platform teams to better serve the organization.Evangelize platform capabilities. Help development squads understand what the platform offers, how to best leverage platform products and other tools, and where opportunities exist for partnership and collaboration.Roadmap Synthesis: Work with AI tooling and analytics to synthesize this information and integrate it into strategic planning.Platform Strategy & ExecutionOwn the platform roadmap across key themes including reliability & performance, platform modernization, developer experience, and operational excellence.Drive initiatives to improve developer experience, CI/CD workflows, infrastructure abstraction, security, and observability.Partner with security, compliance, and architecture teams to ensure platform capabilities are scalable, secure, and meet enterprise standards.Measurement & ImpactWork with platform squads to define North Star metrics and establish a framework for tracking success metrics that demonstrate business impact.Measure platform adoption and effectiveness.Communicate the value of platform investments to leadership and stakeholders through data-driven storytelling.What You'll BringRequiredEnterprise developer tooling experience: Proven track record building "Platform as a Product" either internally at scale or as an external offering.Developer-focused product management: Deep experience building tools, services, and APIs consumed by developers. You understand what makes developers productive and can translate technical requirements into product strategy.Technical depth: Ability to engage credibly with engineering teams on technical topics including infrastructure, CI/CD, observability, security, platform architecture, and GenAI Coding Tools.Hands on experience with one or more of the following areas: Kubernetes ecosystem (EKS, Karpenter, or Kyverno), CI/CD (Github Actions, Azure DevOps), Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation), Observability (New Relic, Datadog, or Grafana), GenAI Coding Tools (Copilot, Cursor)Cross-functional leadership: Track record of driving complex initiatives across multiple engineering teams, with influence rather than authority.Data-driven decision making: Experience defining metrics that matter and using data to prioritize, communicate impact, and drive continuous improvement.Nice to HavePrevious experience as an SRE, software engineer, or in a similar technical roleExperience with platform modernization and legacy system migrationsFamiliarity with developer portal tools, service catalogs, and internal developer platformsExperience in SaaS or B2B environments serving technical audiencesExperience collaborating and aligning with global teams and moving projects forward asynchronouslySuccess in Your First Year30 Days: Build relationships across platform and application development squads. Establish regular touchpoints with key developer teams and their leaders. Begin synthesizing feedback from support channels.90 Days: Deliver a refined platform vision and 2026 roadmap aligned with strategic themes. Launch developer engagement initiatives. Establish baseline metrics for platform health and developer satisfaction.6 Months: Drive measurable improvements in key metrics (deployment time, DevEx scores, platform infrastructure adoption). Increase platform visibility and adoption across engineering. Establish the platform as a trusted partner to development teams.1 Year: Demonstrate clear business impact through improved reliability, faster delivery cycles, and higher developer satisfaction. Position the platform for scale as Mindbody grows. Build a community of platform advocates across the organization.Why This Role Matters Platform Engineering at Mindbody touches every aspect of our technical operation—from how quickly we ship features to how reliably our services run to how secure our customer data remains. This role has the unique opportunity to accelerate every engineering team's effectiveness, enabling us to deliver better experiences for the millions of consumers and businesses who rely on Mindbody. As the first dedicated Platform PM, you'll shape not just what we build, but how we think about internal platforms as products. You'll establish practices, metrics, and relationships that will scale with the company for years to come.Pay transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $151k to $201k. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job DescriptionHow Your Role will Shape Our Success Walker Consultants is seeking a Structural Project Manager to lead the design, coordination, and execution of parking structure projects. This role is ideal for an experienced structural engineer who excels in both technical expertise and project management. The successful candidate will take charge of overseeing multiple projects, ensuring seamless collaboration between clients, architects, and internal engineering teams. You will play a key role in delivering projects on time, within budget, and according to the highest industry standards. The Structural Project Manager will be responsible for ensuring that all aspects of structural design and construction align with regulatory requirements and project objectives. The ideal candidate will have experience managing large-scale parking projects, be adept at problem-solving, and possess strong leadership and communication skills. What Sets Us Apart? Walker is 100% employee-owned! Join us and become part of a company where you have a direct stake in our success. What makes this opportunity even more exciting is our true ownership program. At Walker, our equity-based model allows shareholders to directly benefit from the firm’s success, rather than a traditional ESOP that focuses only on stock appreciation. It’s a unique chance to grow with a company that values its people. What You’ll Do • Manage multiple parking structure design projects from initial concept through construction completion.- Lead structural design efforts, ensuring compliance with applicable building codes, safety standards, and industry best practices.- Coordinate with architects, contractors, and consultants to achieve project goals while maintaining design intent.- Work closely with MEP engineers to ensure seamless integration of electrical, mechanical, and plumbing systems within the parking structures.- Oversee project schedules, budgets, and resource allocation to ensure timely and cost-effective delivery.- Conduct structural analysis and prepare comprehensive calculations, detailed drawings, and clear specifications.- Review and approve design documentation, technical reports, and construction submittals.- Mentor, guide, and provide technical support to junior engineers and designers, fostering professional development.- Conduct quality assurance reviews, resolving structural and coordination challenges throughout the project lifecycle.- Communicate effectively with clients to understand their objectives, provide technical guidance, and ensure high levels of satisfaction.- Contribute to business development efforts by assisting with preparation of proposals, participating in client meetings, and supporting marketing initiatives.- Stay informed on industry trends, emerging technologies, and new regulations related to structural engineering and parking design. What You Bring, • Bachelor's or Master’s degree in Civil or Structural Engineering.- Licensed Professional Engineer (PE), Structural Engineer (SE), and/or Architect (RA).- 7+ years of experience in structural engineering, with a focus on parking structures.- Strong understanding of reinforced concrete and post-tensioned design.- Experience coordinating with architects and MEP engineers.- Proficiency in structural analysis and design software (e.g., ETABS, SAP2000, RAM, AutoCAD, Revit).- Experience managing projects, budgets, and schedules.- Excellent communication and leadership skills.- Ability to work independently and collaboratively in a fast-paced environment.We offer a robust total compensation and rewards package designed to support our employees’ well-being, growth, and diverse needs, including: • Annual discretionary bonus program, • Opportunity to purchase Walker stock – Walker is 100% employee-owned!, • Medical, dental, vision, company-paid life insurance, • Mental wellness benefits, • Health Savings Account with company contribution, • 401(k) with company match, • Flexible Spending Accounts and Commuter Spending Accounts, • 529 college savings plan, • A minimum of 3 weeks of Paid Time Off per year, • 9 paid holidays per year, including 3 paid floating holidays, • 5 days of bereavement leave and PTO Donation Bank to help during difficult times, • 100% compensation replacement during short-term disability leaves, • Paid parental leave that allows an additional week of paid time alongside short-term disability leave and/or applicable state paid leave programs, • Paid community involvement hours, • Tuition and licensure reimbursement and sponsorship of professional memberships, • Internal conferences and professional development opportunities, • Employee Resource Groups and Affinity GroupsAt Walker Consultants, we are committed to maintaining fairness and equity in our pay practices. The final salary offered may vary based on factors such as experience, qualifications, skills, location, internal equity, and other considerations permitted by law. We value open conversations about compensation and welcome the opportunity to discuss more about base salary and Walker’s total rewards philosophy during the recruiting process. Why Walker Consultants? Walker Consultants holds a storied legacy in parking design, tracing back to its inception in 1965 as a trailblazer in structural engineering and parking design. Drawing from decades of expertise, the company's position as an industry leader is firmly established. By the 1980s, Walker had risen to prominence as the premier parking consulting firm in the United States, offering employees the unique opportunity to contribute to and learn from a distinguished and successful team. With an unwavering commitment to visionary design, Walker’s team of experts focuses on creating parking facilities that remain relevant and functional for years to come, providing an intellectually stimulating and fulfilling environment. In the face of a swiftly evolving landscape driven by ride apps, novel mobility choices, autonomous and electric vehicles, and sustainability imperatives, our role at the forefront of designing adaptable, efficient, and future-proof parking structures reflects our embrace of innovation and change. As a creative professional within our ranks, you'll contribute your expertise to shaping aesthetically pleasing, technologically advanced parking facilities, encompassing the broader impact of urban planning, traffic management, and sustainability. Join Us! We know that great talent comes in many forms. If you're excited about this role but don’t meet every single requirement, we still encourage you to apply! You might just be the right person for this role—or another opportunity on our team. At Walker Consultants, we are committed to fostering an inclusive workplace where everyone can thrive. We welcome and encourage applications from individuals of all abilities. If you require any accommodations during the application or interview process, or in the workplace, please let us know—we will work with you to ensure a fair and accessible experience. Walker Consultants is an Equal Opportunity Employer (EOE). We invite all qualified applicants to apply and do not discriminate against individuals because of their race, color, religion, national origin, gender, physical or mental disability, veteran status, or age. NOTICE TO 3RD PARTY RECRUITERS: Any candidate information, including resumes, submitted to Walker Consultants or to any of our employees without a fully executed agreement will be considered unsolicited and non-confidential. Walker Consultants reserves the right to review and pursue such candidates independently, and no placement fees or other compensation will be owed to the submitting party. Candidates submitted in this manner will be treated as direct applicants. Submission of candidate information to Waller Consultants constitutes acceptance of this policy. External recruiters interested in working with Walker Consultants may contact Ritu Pandya at . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Stackpoint Stackpoint is a venture studio that conceives, builds, launches, and scales AI-native companies in high-barrier verticals like real estate, construction, hospitality and financial services. Led by co-founders who have both built unicorn real estate tech companies from scratch, we're a tight team of engineers, product managers, designers, and operators with decades of experience building products, teams, and businesses from startup to scale. We focus all of our energy on discovering and solving customer and business problems, designing financially strong and defensible business models, activating growth engines, hiring world-class founding teams, and helping them thrive (and none of our energy on big-company b.s.). Our dedicated capital, experienced team, proven process, and deep strategic network supercharge founders and accelerate growth. We're based in Boston but have a distributed team, work remotely and come together every quarter for in-person team building. We're building a pooled, Studio-wide engineering team — and we're looking for principal-level engineers who want to build across an entire portfolio of companies, not just one. The Role Context - How the Studio operates: We launch one new company per quarter. For each, we embed a pod — a dedicated PM, Designer, and one or more Studio Engineers — for ~6 months alongside a founding CEO we recruit and back. The first three months focus on discovery: identifying the wedge product, assessing technical feasibility, and accumulating design partners. The second three months shift to building the wedge while hiring the company's founding technical team (Head of Engineering, sometimes 1-2 IC engineers or contractors) in parallel. Because launches are staggered quarterly, at any given time the Studio is hands-on in ~2 companies at different stages. Shared resources across Marketing, Sales, Finance, Ops, and Recruiting flex across companies during the first 6-12 months based on what's needed to hit key milestones. As a Principal Engineer, you are the person who builds. You'll typically embed with a single portfolio company for several months at a time — architecting, coding, and shipping backend systems and responsive frontends from prototype through MVP launch. As that company graduates to its own engineering team, you'll roll onto the next build, bringing compounding experience across domains and tech stacks. You'll partner directly with PMs, designers, and founding CEOs to turn discovery insights into functional software. This is a hands-on, full-stack IC role. You'll report to the Studio's Head of Engineering and you'll be expected to own entire product surfaces end-to-end: cloud infrastructure, APIs, data pipelines, UIs, and deployment — often on the same product. Technology choices are problem-driven, not preference-driven, and you articulate tradeoffs clearly. AI-native development is core to how you work. You use tools like Cursor and Claude Code daily, you've integrated LLMs into production systems, and you have hands-on experience with prompt engineering, structured outputs, and cost/performance tradeoffs. You follow the AI landscape actively and make pragmatic adoption decisions. What You'll Do Full-Stack Product Development Architect, build, and ship backend systems and responsive frontends for new products across our portfolio, from prototype through MVP launch. Infrastructure and DevOps Set up and manage deployment environments, CI/CD pipelines, logging, and monitoring for new builds using modern cloud or hosted tools. Make pragmatic decisions that prioritize speed and reliability in early-stage systems. AI-Native Development Leverage AI coding assistants as core workflow tools to accelerate building, iteration, and experimentation. Integrate LLM-powered features into customer-facing systems where they create real value — including agentic workflows, structured outputs, retrieval patterns, API integration, and evaluation of model tradeoffs. Deep Engagement, Then Rotation Embed with a portfolio company for the duration of its Studio-led build (typically ~6 months). Own the technical execution alongside the pod. When the company transitions to its own team, roll onto the next build with fresh context and compounding experience. Product Collaboration Partner with PMs, designers, and founding CEOs to translate discovery insights into functional software. Contribute to feasibility assessments and help teams understand what's buildable, what's risky, and what's worth a "build to learn" bet. Technical Transition Support Help portfolio companies hire their own engineering teams (Head of Engineering, senior ICs) and execute clean handoffs of Studio-built systems within ~6 months of launch. Studio Tooling and R&D Contribute to internal tools and reusable frameworks that create compounding leverage across the Studio's portfolio companies. What We're Looking For Experience and Background • 5+ years of software engineering experience with meaningful exposure to modern product/engineering cultures and varied company stages, • Building in early-stage 0→1 environments (seed to Series A), operating in high-ambiguity settings and contributing from concept through launch, • Agentic AI: Experience building AI-driven workflows in production (orchestration, tool-use, multi-step reasoning). You know how to make LLM-powered systems reliable in real-world B2B contexts—not just prototypes (structured outputs, retrieval patterns, prompt design, and model tradeoffs)., • Data Pipelines: Experience ingesting unstructured or messy data sources (PDFs, documents, web scrapes, APIs) into vector stores (embeddings) and databases (Wide column stores, SQL/NoSQL) for downstream AI queries (semantic search)., • 0→1 Building: You've taken products from "blank page" to production launch—not just features within established products. You've built and shipped from concept through launch and early iteration in early-stage or startup environments. You architect for the long term, but optimize for rapid learning and execution in the early build phase., • Full-Stack Ownership: You are proficient in the modern stack (Python/Node + NextJS/React/Vue.js) and can take a build from local development to production deployment using modern cloud or hosted infrastructure., • Secure Architecture Principles: Understanding of software and AI attack surfaces, secure coding, and handling of PII or sensitive data in regulated industries., • Experience with Multimodal AI in production systems (image/video/voice understanding and/or generation), • Context-switching is a feature, not a bug. You find variety energizing and ramp fast into new domains, codebases, and team contexts, • Speed and pragmatism define your output. You understand the difference between "build to learn" and "build to scale" and make that call explicitly, • You operate on the frontlines of product work. You're a strong cross-functional collaborator engaging with customers, PMs, designers, and stakeholders in early discovery cycles (onsites, interviews, feedback loops), and using those signals to shape technical and product decisions—not just execute requirements, • You're user-led in your thinking but bold enough to advocate for technical bets when you see an opportunity, • You're driven by craft and impact, not title or territory. You care about quality but aren't precious — you'll throw away a prototype without flinching if the team learns something important, • You're low-ego, generous with knowledge, and someone other engineers want to work withWhy This Role Is Different, • Breadth over depth: You'll touch more industries, domains, and technical challenges in a year than most engineers see in five. Real estate, insurance, construction, finance — each portfolio company is a new problem space., • Build, not maintain: Every engagement is a greenfield build. You're always working on the hardest, most interesting phase of a product's life — the 0→1., • A real team, not a solo act: You'll work alongside a small, high-caliber engineering team — plus PMs, designers, and operators — who are collaborative, low-ego, and deeply experienced at building from scratch. This isn't a lone-wolf contractor gig; it's a tight team that learns and compounds together., • Leverage over repetition: Your Studio tooling and R&D contributions don't just serve one product — they accelerate every future company Stackpoint creates., • Direct impact: You'll work directly with founders, the full Stackpoint Studio team, and portfolio company customers. No layers. No politics. Just building.Logistics, • Compensation: Competitive base, comprehensive health benefits + equity participation in every company we launch during your time here., • Location: Flexible within U.S. and Canada— we operate remotely., • Reports to: Studio Head of Engineering.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About Klaviyo Klaviyo empowers creators to own their destiny by making first-party data accessible and actionable like never before. We see innovators building incredible businesses every day using Klaviyo's platform, and we're here to make sure they have everything they need to succeed. We're a company that puts customers first, leads with curiosity, and builds with velocity. We're looking for people who are excited about solving hard problems, who thrive in a fast-paced environment, and who want to make a meaningful impact on how businesses grow. About the Role We're looking for a Director of Security Risk and Trust who breaks the mold of traditional compliance leadership. This isn't a role where you'll spend your days pushing spreadsheets and chasing attestation deadlines—this is a role where you'll engineer solutions to governance and compliance challenges at scale, build systems that make security and trust a competitive advantage, and lead a team that operates at the intersection of security engineering, risk management, and regulatory compliance. You'll own the strategy and execution of Klaviyo's Risk and Trust program, partnering deeply with Engineering, Product, Legal, IT, and business teams to embed compliance and risk management into how we build and operate—not bolt it on after the fact. You'll bring a strong technical foundation and an engineering mindset to everything you do, from designing automated compliance pipelines to developing governance frameworks for AI/ML systems. You'll need to be as comfortable reading Terraform configs and reviewing architecture diagrams as you are presenting risk posture to executive leadership. This role reports to the CISO and is a critical member of the Security leadership team. How You'll Make a DifferenceBuild and Own the Risk and Trust Strategy • Define and execute a forward-looking strategy that scales with Klaviyo's growth, product evolution, and expansion into new markets and regulated industries, • Develop a risk management program that quantifies and communicates risk in terms the business can act on—not just heat maps, but data-driven models that inform real decisions, • Own the compliance roadmap across frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2 Type II, HIPAA, GDPR, CCPA/CPRA, and emerging AI governance regulations, identifying where frameworks overlap and engineering unified control sets rather than duplicating effort, • Translate regulatory and compliance requirements into clear, actionable engineering requirements that development teams can implement without ambiguityEngineer Solutions, Don't Just Document Them, • Build and maintain compliance-as-code infrastructure—automated evidence collection, continuous control monitoring, and policy-as-code implementations that reduce manual toil and increase assurance, • Design and implement tooling and integrations (leveraging APIs, scripting, and orchestration platforms) that connect GRC workflows with engineering systems (CI/CD pipelines, cloud infrastructure, identity platforms, etc.), • Partner with Engineering and Platform teams to embed security and compliance controls directly into the software development lifecycle, infrastructure provisioning, and deployment pipelines without introducing toil or friction, • Evaluate, select, and optimize platforms and technologies, building automation that turns compliance from a periodic exercise into a continuous, real-time capabilityLead AI Security Governance, • Develop and implement a comprehensive AI/ML governance framework aligned with ISO 42001, the EU AI Act, NIST AI RMF, and emerging global AI regulations, • Partner with ML/AI and Data Science teams to establish security and compliance guardrails for model development, training data governance, model monitoring, and responsible AI deployment, • Conduct and oversee risk assessments specific to AI/ML systems, including risks related to data poisoning, model integrity, bias, prompt injection, and supply chain threats in the AI ecosystem, • Stay ahead of the rapidly evolving AI regulatory landscape and proactively position Klaviyo's governance posture to meet or exceed emerging requirementsDrive Cross-Functional Impact, • Partner with Product and Engineering leadership to ensure security and compliance are built into product design from day one—acting as a trusted technical advisor, not a blocker, • Collaborate with Legal and Privacy teams to operationalize regulatory requirements and ensure alignment between legal interpretation and technical implementation, • Work with Sales, Customer Success, and Trust teams to support customer-facing security and compliance needs, including customer audits, security questionnaires, and trust documentation, • Engage with executive leadership and the Board to communicate risk posture, compliance status, and strategic GRC investments in clear, business-relevant termsGet Your Hands Dirty, • Roll up your sleeves and do the work—conduct technical risk assessments, review architecture designs, write automation scripts, troubleshoot control gaps, and dive into the details when it matters, • Personally lead critical compliance initiatives, audit responses, and incident-driven governance activities when the stakes are high, • Maintain deep technical currency by staying hands-on with cloud platforms (AWS, GCP, Azure), infrastructure-as-code tools, security tooling, and modern software development practicesWhat We're Looking ForMust-Haves, • 10+ years of experience in security, governance, risk, and compliance, with at least 5 years in a leadership role building and scaling programs at high-growth technology or SaaS companies, • Strong engineering and technical foundation—you've written code (Python, Go, or similar), built automation, worked in cloud-native environments, and can engage deeply with engineering teams on technical design and implementation, • Deep expertise across multiple compliance frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2, HIPAA, GDPR, and SOX IT controls, with a demonstrated ability to rationalize and unify controls across overlapping frameworks, • Demonstrated experience in AI/ML security and governance, including familiarity with AI-specific risk frameworks, responsible AI principles, and the unique security challenges of machine learning systems, • Hands-on experience with cloud infrastructure and security (AWS strongly preferred), including understanding of IAM, networking, encryption, logging/monitoring, and infrastructure-as-code (Terraform, CloudFormation, etc.), • Proven ability to build compliance-as-code and automated GRC capabilities, including evidence collection automation, continuous monitoring, and integration with engineering toolchains, • Exceptional cross-functional leadership skills—you've successfully partnered with Engineering, Product, Legal, and executive stakeholders to drive security and compliance outcomes without relying on authority alone Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$233,600—$350,400 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Full Stack Engineer to join the Social team and help turn social conversations into long‑term customer relationships. In this role, you'll build end‑to‑end experiences that connect channels like Instagram DMs to Klaviyo's core platform—capturing high‑intent profiles, consent, and engagement data from social traffic. As a Software Engineer II, you'll tackle complex technical challenges, explore multiple solution paths, and weigh business and technical trade‑offs to determine the best approach. You'll contribute actively to design discussions, help shape architectural decisions, and ship well‑designed, thoroughly tested features that prioritize reliability, performance, and a great user experience. On the Social team, we focus on crafting intuitive, high‑impact surfaces that make it easy for brands to grow their lists from social. This includes the experiences that power Instagram auto‑replies and future social entry points, the supporting APIs and services that ingest and transform social events, and the data and analytics that show customers how social programs drive profile growth and revenue. We partner closely with teams across messaging channels, onsite experiences, and profiles to create a cohesive, multi‑channel growth engine. Collaboration is central to how we work. You'll work with engineers, product managers, designers, and data partners across Klaviyo, gaining exposure to many parts of the stack and product. This keeps the work varied and gives you opportunities to see your code in action across different surfaces—from customer storefronts to internal analytics tools. Looking ahead, Social is expanding beyond our first Instagram auto‑reply experiences into a broader social growth platform. We'll be deepening our native social integrations, building smarter targeting and personalization based on profile and event data, and creating new ways to route social traffic into high‑conversion destinations like landing pages and onsite modules. Our goal is to make Social not just a feature, but a growth platform that helps brands turn every conversation into a durable customer relationship. What We're Looking For • A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code, • 3+ years of experience in a software engineering role, • Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies, • Familiarity with code reviews and leading or participating in robust testing practices, • Experience working in agile, fast-paced environmentsNice to Have, • Experience with Python and related technologies, • Experience with React and related technologies, • Background in digital marketing or customer data software, • Exposure to machine learning concepts or applications, • Experience building cloud-native solutions, ideally on AWS We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Our team is looking for a Senior Full Stack Engineer to lead key initiatives that will enhance our product offerings and support our company's growth. In this role, you'll play a crucial part in shaping outcomes by developing innovative end-to-end solutions using both front-end and back-end technologies. You'll optimize existing products and create new solutions that redefine what's possible for our customers. As a Senior Engineer, you'll tackle complex challenges, develop multiple solutions, and evaluate business and technical trade-offs to determine the best path forward. You'll also act as a leader and mentor, and drive key technology decisions. Additionally, you'll be responsible for deploying well-designed, thoroughly tested solutions that ensure reliability and performance. The New Products team drives Klaviyo's most ambitious innovations—creating and scaling the company's boldest new bets. As a nimble group with a flat structure and fast-moving culture, we prioritize simplicity, speed, and impact. Every team member is expected to take radical ownership—rolling up their sleeves, collaborating across disciplines, and pushing beyond traditional role boundaries to make things happen. Success in this role means delivering exceptional work that sets the standard for velocity and results company-wide, while helping shape Klaviyo's future through experimentation, creativity, and executional excellence. What We're Looking For • A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code., • 7+ years of experience in a software engineering role., • Strong experience developing end-to-end software solutions or extensive experience with both front-end and back-end technologies., • Experience leading projects and being accountable for their outcomes., • Experience mentoring team members or driving initiatives that help the team learn new skills., • Experience conducting code reviews and running a robust testing cycle., • Experience working in agile, fast-paced environments., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient., • Skills with Python and related technologies, • Skills with React and related technologies, • Experience developing digital marketing or customer data software solutions., • Experience with machine learning. Please see the independent bias audit report covering our use of Covey here #indeedRD Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionMission Summary: As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly - designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment. What you'll be doing: • Design and build major components of our cloud architecture - including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most, • Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics - then design and implement them to reduce configuration complexity and accelerate engineering velocity, • Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services, • Drive FinOps practices - cost visibility, attribution, accountability as well as optimization recommendations, • Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughputWhat we're looking for:, • Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience), • 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity, • Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects), • Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other), • Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog), • Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability, • Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staffBonus points (not required):, • Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks, • Prior experience with large-scale machine learning training pipelines, • Experience leading technical projects in a globally distributed team, • Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $172,000 - $229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn , Instagram and YouTube . Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We're looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making. Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments. In this role, you will help design, deploy, and mature Raft's ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models. What you'll do: • Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems, • Help mature Raft's internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support, • Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters, • Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems, • Build and maintain CI/CD workflows for ML services, model artifacts, and platform components, • Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment, • Improve observability, reliability, security, and maintainability across ML infrastructure and services, • Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads, • Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments, • Support compliance-driven deployment practices and secure software supply chain requirements in defense environments, • Get hands-on with customers at the most forward-leaning places in the Department of War What we are looking for: • 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles, • 5+ years of experience with Docker and Kubernetes in production environments, • 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments, • Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production, • Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams, • Practical experience deploying machine learning workloads on Kubernetes, • Experience managing clusters or workloads that use GPUs, • Strong understanding of Helm and Kubernetes deployment patterns, • Strong scripting or programming skills, preferably in Python, • Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows, • Strong troubleshooting, systems thinking, and communication skills, • Ability to work independently and collaboratively in a fast-moving environment, • Ability to obtain and maintain a Top Secret clearance, • Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies, • Experience with secure and compliant deployment practices in regulated or government environments, • Experience with Kubernetes-based ML platforms such as Kubeflow, • Familiarity with service mesh technologies such as Istio, • Experience provisioning and debugging complex CI/CD systems, • Experience with infrastructure as code tools such as Terraform, • Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning, • Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge, • Background working with machine learning engineers on model training, evaluation, packaging, and release workflows, • Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog systemWhat success looks like:, • You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production, • ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use, • Model deployments become more secure, observable, and supportable across real-world mission environments, • Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY, • May require up to 40% travel Salary Range: $150,000.00 - $200,000.00 What we will offer you: • Highly competitive salary, • Fully covered healthcare, dental, and vision coverage, • 401(k) and company match, • Take as you need PTO + 11 paid holidays, • Education & training benefits, • Annual budget for your tech/gadgets needs, • Monthly box of yummy snacks to eat while doing meaningful work, • Remote, hybrid, and flexible work options, • Team off-site in fun places!, • Generous Referral Bonuses We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are. We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You'll improve existing products and develop new capabilities that push the boundaries of what's possible for our customers. As a Software Engineer II, you'll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You'll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance. The WhatsApp team builds the end-to-end experience for Klaviyo's WhatsApp channel, making it easy and powerful for customers to use our newest messaging channel effectively. We own the core WhatsApp product surface across Klaviyo, ensuring it's available wherever customers expect it, while building and operating WhatsApp-specific capabilities like outbound and inbound pipelines and Meta template management. We work cross-functionally by default. Partnering closely with teams across the org gives us broad exposure to the product, lets us unblock other teams, and allows us to drive impact well beyond our immediate scope. The work is fast-moving, varied, and forces us to constantly learn and adapt. Looking ahead, our focus is on scaling WhatsApp across Klaviyo. That means closing feature gaps, rapidly integrating new Meta capabilities, and running targeted adoption experiments to drive usage. The goal is simple: deliver the most complete, high-quality WhatsApp integration in the market—and set the bar for what a marketing platform can do with this channel What We're Looking For • A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code, • 3+ years of experience in a software engineering role, • Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies, • Familiarity with code reviews and leading or participating in robust testing practices, • Experience working in agile, fast-paced environmentsNice to Have, • Experience with Python and related technologies, • Experience with React and related technologies, • Background in digital marketing or customer data software, • Exposure to machine learning concepts or applications, • Experience building cloud-native solutions, ideally on AWS We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Software Engineer II - Analytics Data Engineering | AI & Analytics Data Enablement Location: Boston, MA About the Role Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won't just be moving data; you'll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics. You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines. What You'll Do • Build Production-Grade Foundations: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products., • Optimize for Enterprise Performance: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale., • Treat Data as a Product: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users., • Drive Operational Excellence: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time., • Partner Cross-Functionally: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support., • Innovate with AI: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.Who You Are, • The Experience: 2+ years of experience in data engineering or a data-intensive software engineering role. You've moved past the "beginner" phase and are comfortable taking a project from a design doc to a production deployment., • Fluent in SQL and Python: You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability., • Distributed Systems Knowledge: You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR)., • Modeling Intuition: You understand the difference between a "raw table" and a "semantic layer." You've worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta)., • Performance Minded: You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively., • Collaborative & Curious: You're an inclusive collaborator who enjoys working with Product and Data Science. You're excited to experiment with AI tools to make your own engineering workflow more efficient.Nice to Haves, • Experience with Iceberg table maintenance and compaction., • Exposure to Terraform or other Infrastructure-as-Code tools., • A background in Martech or SaaS platforms dealing with high-frequency event data., • Experience building data products that directly power customer-facing UI components and/or support AI/ML features., • Experience building near real-time or streaming pipelines for user-facing analytics or monitoring., • Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models). Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Location: Waltham, MA (hybrid- 3 days In-Office) ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find ERGO NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow — that's where you come in. What You'll Do • Design, implement, and optimize backend services that power machine learning-driven features in production environments, • Design and build backend systems that serve machine learning models in production, with a focus on performance, reliability, and scalability, • Ensure model predictions are observable and measurable, enabling evaluation using metrics such as precision, recall, and business impact, • Collaborate with product and cross-functional teams to refine requirements, prioritize high-impact problems, and translate them into clear technical solutions, • Contribute to system design, architecture reviews, and code quality improvements, • Diagnose and resolve complex issues across backend services, data pipelines, and model inference systems, including identifying gaps in model performance and system behavior, • Support innovation and continuous improvement by identifying opportunities and driving technical initiativesWhat We Need, • 5+ years of backend engineering experience in Python, • Proven experience building high-performance or distributed systems, • Experience deploying and serving machine learning models in production systems, including building inference pipelines and integrating model outputs into backend services, • Experience evaluating model performance using metrics such as precision, recall, or other business-relevant measures, • Strong understanding of cloud infrastructure, microservices, and observability, including logging and monitoring systems to track model predictions and system performance, • Ability to operate effectively under ambiguity and navigate dynamic environments We are hiring for multiple AI Engineers. US annual base salary ranges for this full time position are as follows: • AI Engineer (IC1): 2+ Years of Experience: $105,000-$142,000, • AI Engineer (IC2): 3+ Years of Experience: $127,000-$171,000, • AI Engineer (IC3): 4+ Years of Experience: $152,000-$206,000, • AI Engineer (IC4): 10+ Years of Experience: $196,000-$265,000Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO Next Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of ERGO Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (), or you can contact your local law enforcement agency. The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: $105,000—$265,000 USD Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy. As an engineer in the Scene Understanding team, you will develop advanced Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.In this role, you will... * Design and train Vision-Language-Action (VLA) solutions for robotaxis * Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel * Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following. * Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior * Partner with cross-functional teams to integrate perception signals Qualifications * MS or PhD in Computer Science or related field * Background in deep learning solutions for VLM and VLA models * Track record in post-training large-scale models, CPT, SFT, RL * Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics * Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM) Bonus Qualifications * Deep knowledge of cutting-edge computer vision techniques * Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) * Experience with integrating large language models to various tasks. Base Salary Range 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 only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We are building state-of-the-art AI and machine learning technologies at Klaviyo to power marketing agent, service agent, and personalization products such as smart send time, audience optimization and product recommendations. As a Machine Learning Platform Engineering Manager, you will lead a team of engineers building the core platforms, tools, and infrastructure that ML and AI engineers rely on to create advanced agents and models powering Klaviyo's products. Your team will own platforms for training and deploying models and scaling systems that must operate reliably at Klaviyo's data and traffic scale. This is a backend-heavy, hands-on technical leadership role. You will manage and grow engineers, shape the technical roadmap for ML Platform, and collaborate closely with product, ML, data science, and infrastructure partners to deliver durable, high-leverage platforms that accelerate AI development across Klaviyo. This role is hybrid and based in Boston. How You'll Make an Impact • Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster, more safely, and more reliably., • Evolve our ML and LLM platform architecture so teams can build, evaluate, and operate production ML systems with consistent patterns and best practices., • Improve reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that serve features like smart send time, audience optimization and product recommendations., • Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events., • Build and grow a high-performing, inclusive engineering team that operates with ownership, curiosity, and strong customer focus. What You'll Do • Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports)., • Set clear goals, provide regular feedback, and support career development aligned with Klaviyo's Engineering Career Architecture., • Stay hands-on with the technology: participate in design reviews, code reviews, and occasionally ship code for critical paths or prototypes. Who You Are We encourage candidates to apply even if they do not meet all the qualifications listed. ML Platform and MLOps are rapidly evolving spaces and we are all constantly learning. • 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems., • 2+ years of experience in a formal people leadership role, • Demonstrated experience launching and operating AI/ML systems in production at scale, • Strong proficiency in Python (or a similar backend language such as Go, Java, or Scala)., • Experience with cloud infrastructure and platform fundamentals (AWS, kubernetes):, • Familiarity with data-intensive systems: streaming or batch processing, data modeling, and designing systems with large-scale data in mind (spark, ray-data)., • Comfortable collaborating with cross-functional technical partners (ML, product, infra, security)., • Strong communication skills and a track record of driving clarity and alignment across teams. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$176,000—$264,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Mission Summary: Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers. What You'll Be Doing: • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles., • Design test harnesses for embedded software components and full systems, • Provide technical mentorship to engineers., • Proactively work with cross-functional engineering teams to solve complex and interesting problems. What We're Looking For: • Experience with creating detailed requirements from use cases., • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution., • Experience writing software for embedded platforms in C and C++., • Experience with Test-Driven Development (TDD)., • Experience working on embedded Linux / RTOSs., • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols., • Experience with debugging on embedded platforms., • Experience writing software in Python and experience doing automation with shell scripting., • Experience working with ARM Cortex MCUs or Microprocessors. Bonus Points (not required): • Experience working with large data pipelines, and platforms that require deterministic execution., • Experience using inter-system communication protocols such as I2C and SPI, • Experience deploying Machine Learning models., • Experience working with GPUs., • Experience working directly with the Linux kernel or Device Drivers., • Experience with Simulation and Code Generation, and knowing when their use is appropriate., • Experience working with Bazel., • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs., • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we're accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets. About the company At Nova Biomedical, we’re not just building instruments, we’re powering breakthroughs that improve lives. Our smart, science-driven solutions are trusted in over 100 countries to speed drug development and enhance patient care. Our integration brings together more than 70 years of scientific excellence with Nova’s cutting-edge innovation, forming a powerhouse of precision, purpose, and possibility. With FDA-registered, ISO-certified manufacturing, more than 125 FDA approvals, and industry-trusted diagnostics, we’re setting new standards in quality and reliability. Nova Biomedical is proud to be a global leader in osmolality testing and biotechnology and in vitro diagnostic (IVD) instrumentation, dedicated to advancing patient care and scientific discovery with a legacy that continues to shape the future of life sciences. With headquarters in Norwood and Waltham, Massachusetts, and a global team of nearly 2,000 employees, we’re building a collaborative, empowered culture grounded in shared values: Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity. Working at Nova Biomedical means joining a mission-driven organization where your contributions matter. Whether you're in engineering, science, manufacturing, or support, you’ll be part of a team that values innovation, invests in your growth, and is committed to making a real-world impact on global health. Explore what’s next with us at novabiomedical.com About the role We are looking for a Senior AI software engineer to support the Research & Systems Engineering. Facilitating the research, design and deployment of new machine learning/artificial intelligence models, to embed within the current and future products portfolio. Owning the technical responsibility for all Artificial Intelligence (AI) features in the image processing and model training Portfolio. If you’re passionate about software engineering and want to be part of a team that is shaping the future of life sciences, we’d love to hear from you, apply today! What you’ll do • Design and lead innovative AI projects from beginning to end and provide technical guidance to other team members., • Be able to assist in the breakdown of new AI features into actionable work items, and work with the team to estimate the time and complexity involved them., • Produce coherent and concise technical documentation of AI-based projects, providing summaries and evidence of work completed., • Manage AI model codebases from research to production level., • Communicate with other teams (Systems, Software Development team) to perform team tasks more effectively., • Contribute to the creation and filing of patents to protect intellectual property generated through research efforts, working closely with legal and intellectual property teams as necessary., • Ability to work on multiple projects at one time and deliver to deadlines, • Ability to work in a methodical and organized manner and keep detailed records of all work carried out, • Ability to readily absorb complex bioinformatic concepts., • Excellent problem-solving, analytical and communication skills., • Strong knowledge of biotech industry with focus on cell development practices., • Deep knowledge of convolutional models and latest techniques., • Proficiency in major deep learning frameworks (PyTorch, Keras, Tensorflow), • MSc or higher in CompSci, Mathematics, Physics, AI, Computational Biology or any other relevant quantitative discipline, OR equivalent master’s level work experience delivering AI/ML solutions, • 2+ years of experience applying ML/AI to microscope images or biological problems., • 3+ years of experience with any of the major deep learning frameworks (PyTorch, Keras, Tensorflow), • Experience with ONNX preferred, • The ability to work on a laptop or desktop computer for prolonged periods of time., • The ability to lift at least 15 lb., • Flexible Medical, Dental, & Vision Coverage, • Competitive 401k company match, • Bonus Program, Generous PTO and paid holidays, • Generous Tuition reimbursement, • Hybrid and flexible work arrangements, • Professional development, engagement and events, • Company marketplace for lunch and snacks in our Norwood, MA, Billerica, MA and Westbrook, ME offices Targeted Salary Range: $145,000 - $170,000/year. Nova Biomedical believes in transparency and integrity throughout all we do, including compensation. The provided salary range for this role represents the expected base salary or hourly rate for this opening. Actual compensation will be commensurate with the candidate’s experience and may vary based on individual factors such as location, skills, and education. EEO Statement: Nova Biomedical takes pride in being an equal opportunity employer committed to hiring a diverse and inclusive workforce. As a part of our commitment to a diverse and inclusive workforce, Nova Biomedical will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Privacy policy

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. About the Role Plume's Core Engineering team is looking for a Senior Wireless Firmware Engineer with deep expertise in WiFi driver development to lead innovation for large-scale WiFi and broadband solutions. You will work across embedded firmware, wireless drivers, and system-level software to enable high-performance, scalable, and reliable WiFi experiences. This is a high-impact senior role where you will lead complex initiatives in wireless networking, performance optimization, and large-scale deployments, while mentoring other engineers and influencing system architecture. What You'll Do • Lead design and development of WiFi firmware and driver architecture for next-generation wireless platforms, • Own critical components of the WiFi stack and drive technical direction across projects, • Mentor junior engineers and provide technical guidance across firmware and driver domains, • Design, develop, and optimize WiFi firmware and low-level wireless drivers, • Work on IEEE 802.11 stack (WiFi 4/5/6/6E/7), including MAC/PHY layers, • Debug and optimize WiFi drivers with chipset/SoC vendors, • Analyze network behavior and improve performance (throughput, latency, reliability), • Participate in full software lifecycle: design, development, testing, deployment, and support, • Troubleshoot complex system-level issues across firmware, drivers, and networking stacks Required Qualifications • BS/MS/PhD in Computer Science, Electrical Engineering, or related field, • 8+ years of experience in embedded systems, firmware, or driver development, • Proven experience leading complex technical projects end-to-end, • Strong expertise in C/C++, • Deep experience with WiFi driver development at chipset/SoC level, • Strong understanding of Linux kernel and networking stack, • Deep knowledge of IEEE 802.11 MAC and PHY layers, • Experience with OpenWRT, RDK, or OpenSync, • Strong debugging and performance optimization skills Preferred Qualifications • Experience with Broadcom, Qualcomm, or MediaTek WiFi chipsets, • Experience with mesh networking and large-scale deployments, • Knowledge of MU-MIMO, OFDMA, beamforming, WiFi 7, • Python or scripting for automation, • Familiarity with cloud-managed networking systems What You Bring • Strong ownership and leadership mindset, • Ability to solve complex, ambiguous problems, • Experience mentoring engineers, • Excellent communication and collaboration skills, • Passion for building high-performance wireless systems This role is fully remote but requires someone to reside in EST. Unfortunately, we are not offering sponsorship at this time. The total compensation package would include an anticipated compensation range of $140,000.00 - $150,000.00, plus bonus, equity, and benefits. Benefits include: a 401 (k) plan and a company match, basic life insurance, plus unparalleled health, dental, vision, and other benefits and perks. An employee's base salary and its position within the range may depend on several factors, including job-related knowledge, education, skills, experience, and other business-related considerations. Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #WorkFromHome, #RemoteWork, #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionOur 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 environmentsQualifications, • BS, MS, or PhD degree in computer science or related field, • Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines, • Experience with modern computer vision techniques, • Strong mathematical skills and understanding of probabilistic techniques, • Fluency in C++ or Fluency in Python with a basic understanding of C++, • Extensive experience with programming and algorithm design-Strong mathematics skillsBonus Qualifications, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with autonomous robots, • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar), • Experience with novel pipelines and architectures for convolutional neural nets

Job DescriptionCompany Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise grade AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Ikigai Labs is seeking a dynamic and passionate Senior Front End Software Engineer with strong software fundamentals to join a high-performing data platform development team. This is a unique opportunity with personal and leadership growth opportunities. You will join a small team that is responsible for the UI implementation and maintenance across a number of functional areas. This is an opportunity to contribute on a daily basis to improving our users' experiences and build unique expertise in our product. You will be joining a team of talented and passionate engineers who delight in owning the code and ensuring quality for these diverse functional areas. We require candidates to have extensive experience with React TypeScript and an expert level knack for solving complex problems within our engineering organization. ROLE: • You'll brainstorm with Product Managers and Designers to conceptualize new features and solutions, • You'll collaborate with other teams within engineering to build new features for our growing user base, • You'll work with our support team triage bugs and troubleshoot production issues, • You’ll act as a technical leader by making significant technical contributions to the planning and implementation of mid to large-scale projects from conception to completion, • You’ll act as a subject matter expert within the organization while resolving complex technical issues or challenges, • Languages: TypeScript/JavaScript, HTML, CSS, • Frameworks: React.js, RTK Query, Redux, Playwright, • 5+ years of experience, • Bachelor’s degree in Computer Science or related field, • Advanced knowledge of Typescript is a must, • Advanced knowledge of React and state management libraries, • Experience using/consuming REST APIs with an advanced understanding of client-server, • interaction, • Experience with AGILE/Scrum development methods, • Proficiency in SQL/relational databases, • Experience with CI/CD pipelines a2hX4tc2Bt

Job DescriptionABOUT US At VibeIQ, we pioneer the future of digital collaboration with our innovative suite of apps built specifically for product teams. Our mission is helping companies that design, manufacture, or sell products work more effectively, enable a better work-life balance, and reduce their environmental impact. POSITION SUMMARY We are seeking a Senior Backend Engineer to join our Implementation Engine team, with a specific focus on building and maintaining the developer ecosystem that powers our extensibility and integrations. In this role, you will work on tools and infrastructure that power the implementation of our product, through our integration data management, configuration, and application deployment frameworks, all powered by our APIs, CLI, SDK, and underlying technologies. You’ll collaborate closely with product managers, core platform engineers, as well as internal and external stakeholders to help shape a robust and intuitive implementation experience. This is a unique opportunity to work closely with critical functions at the company, and become a meaningful contributor to scaling our business. ESSENTIAL FUNCTIONS • Design, develop, and maintain backend services and tools that support the developer ecosystem (e.g., SDK, App Integration Framework, APIs, CLI tools) and build similar capabilities for less technical users via this platform., • Collaborate with cross-functional teams to define developer-facing experiences and integrate feedback into improvements., • Contribute to documentation and tooling that make it easy for anyone to build on top of our platform., • Drive quality, reliability, and scalability improvements across our extensibility infrastructure., • Uphold and evolve our software engineering standards, including code quality, testing, CI/CD, and security practices., • Make an impact on our AI strategy through your contributions to our AI tech stack., • At least 5+ years of backend or platform engineering experience, preferably in cloud-based environments (AWS or similar)., • Experience designing APIs, SDKs, CLIs, or frameworks meant for external developer use., • Proven ability to architect scalable, maintainable backend systems (ideally using Node.js or TypeScript)., • Familiarity with modern backend/cloud technologies such as AWS Lambda, API Gateway, DynamoDB, S3, and CI/CD workflows., • Strong technical writing and documentation skills - you understand that user experience is powered by more than just code., • Strong problem-solving and debugging skills across distributed systems., • Excellent communication and collaboration skills across engineering, product, and external stakeholders., • Experience building integrations with SAAS products like PLM, DAM, PIM, and ERP systems., • Transform how companies work by empowering the collaboration behind every great product, • Work on challenging, high-impact projects with enterprise clients., • Collaborate with top talent in a dynamic, growth-oriented company., • Enjoy flexibility, autonomy, and opportunities for career advancement. 9 Paid Holidays per Year Discretionary Time Off Paid Parental Leave VIBEIQ, LLC values a diverse team and is an equal opportunity employer. Powered by JazzHR qIp0jd9Qqz

Job Description HyperLight is at the forefront of the commercialization of thin-film lithium niobate (TFLN) integrated photonics - a material and process technology that is enabling high-performance, scalable optical components across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond. Founded in 2018 and backed by leading venture capital, we’ve built a team and a platform focused on real-world mass deployment of TFLN photonics technology. At the core of our work is the TFLN Chiplet™ platform — a modular, integrated architecture designed for scalability, manufacturability, and seamless integration into complex systems. It offers a rare combination of extraordinary performance and industrial readiness, enabling system developers across applications to deploy the technology fast and ready. We partner with our customers and suppliers from conceptualization, design, and prototyping phases, all the way through mass production to ensure smooth and rapid deployment of TFLN photonic technology. We believe our platform is the key, in the golden age of integrated photonics, to empower humanity to the next level. We assembled a world class team covering engineering, business, and operations. We believe in the power of integrity, innovation, collaboration, and pragmatic solutions. Our diverse team thrives on challenges and is united by a shared commitment to excellence. We take pride in tackling complex challenges with curiosity, humility, and a deep sense of care for one another. Our growing team is looking for an Enterprise Applications Engineer to join us. This role offers a unique opportunity to work at the intersection of enterprise systems, workflow automation, collaboration platforms, and semiconductor manufacturing operations. We are seeking an engineer to support and enhance internal business systems, collaboration platforms, and workflow automation solutions across the organization. This role will primarily focus on Microsoft technologies including SharePoint, Power Platform, Power BI, and workflow automation solutions, while also supporting enterprise applications such as NetSuite. The ideal candidate enjoys improving operational efficiency, building scalable internal tools, and enabling business process automation across engineering and operations teams. As part of your responsibilities, you will be: • Design, develop, and maintain SharePoint-based collaboration portals, document management systems, and intranet solutions, • Build and enhance workflow automation solutions using Microsoft Power Automate and Power Apps, • Administer and support enterprise applications such as NetSuite and related business systems, • Support and optimize Microsoft 365 collaboration tools and business process workflows, • Collaborate with cross-functional teams to improve operational efficiency through automation and process improvements, • Develop dashboards and reporting tools using Power BI and other analytics platforms to support business operations and decision-making, • Support data integration and synchronization between enterprise applications and databases, • Contribute to enterprise data governance, security controls, compliance, and operational best practices, • Troubleshoot application, workflow, and integration issues while ensuring reliability and user satisfaction, • Document system architecture, workflows, processes, and operational procedures, • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, • Minimum 2 years of experience supporting enterprise applications, workflow automation, or business systems, • Strong experience with Microsoft technologies such as SharePoint, Power Automate, Power Apps, and Microsoft 365, • Experience designing and implementing workflow automation and collaboration solutions, • Experience with enterprise applications such as NetSuite or similar ERP systems, • Experience building dashboards and reporting solutions using Power BI or similar BI platforms, • Experience with database systems and SQL for reporting, integration, and analytics, • Strong analytical, troubleshooting, and problem-solving skills, • Effective communication skills and ability to collaborate across technical and non-technical teams, • Self-motivated, detail-oriented, and capable of managing multiple priorities, • Preferred Qualifications:, • Familiarity with semiconductor, manufacturing, or hardware-related business environments, • Hands-on experience administering or supporting NetSuite ERP, • Experience developing SharePoint intranet, document management, or collaboration portals, • Experience integrating enterprise systems using APIs, middleware, or automation tools, • Experience with Microsoft 365 administration and enterprise collaboration best practices, • Knowledge of scripting or programming languages such as PowerShell, Python, or JavaScript, • Experience with cloud platforms such AWS or Azure, and SaaS enterprise applications, • Familiarity with DevOps practices, CI/CD pipelines, and deployment automation, • Familiarity with AI-powered productivity tools within Microsoft ecosystems or similar platforms, • Competitive market-based compensation, • Comprehensive health coverage, including medical, vision, and dental plans for individuals and families, • 401(k) retirement plans with employee matching, • Paid Parental Leave, • Life and disability insurance, • Commuter benefits and subsidies, • Professional growth and mentorship opportunities HyperLight is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job DescriptionAbout Kasa Kasa is the leading tech-enabled hotel and apartment hotel brand and manager. Kasa has built a hospitality operating system that fundamentally improves the profitability of hospitality assets while delivering a high quality, digitally forward experience to guests. We partner with owners of multifamily and boutique hospitality properties to deliver stylish, professionally managed accommodations to business and leisure travelers alike. We took the best that hotels and short-term rentals had to offer and created a new class of hospitality that is well-priced, reliable, and offers a large selection of great locations. Unlike traditional hotel operators, we prioritize automation, AI-driven pricing, and data-driven decision-making to optimize revenue and improve guest experiences. Location: This role will be split across two properties in our Boston, Massachusetts market: Kasa Fenway and Kasa Commons. Time Commitment: approximately 32-40 hours Anticipated Schedule: Flexible - including nights, weekends, and holidays. The Role Kasa is seeking a Building Engineer who will be responsible for providing specialized support for all building systems maintenance and facility operations of our Boston Market. This includes a focus to identify equipment reliability opportunities and improving upon quality. This role will demand time spent on the ground "living the business" with extreme detail orientation, but will also require analytically rigorous strategic thinking to guide the Kasa leadership teams. This role will report to the Operations Manager and work closely with the Boston Portfolio team. About the Team This role is in our Portfolio Operations department. Our mission is to ensure our guests have a seamless in-unit experience. Our team members are located all over the country, have diverse backgrounds, and come from many different industries. Everyone joined Kasa because they are passionate about delivering high-quality standards to ensure that our guests love their experience while staying with Kasa. Day in the life of a Kasa Building Engineer Like any Ops role, you should expect to have a number of competing priorities in a given day or week. This position relies on experience and judgment to plan and accomplish goals with a wide degree of autonomy, creativity, and cost-effectiveness. Responsibilities • Actively provide technical engineering support for the on-site team regarding the operation, improvements, replacements, and/or upgrades for building systems and equipment., • Identify and recommend potential building systems-related projects., • Lead efforts involving preventative maintenance requirements, process improvements, standards review and troubleshooting, equipment selection, and service vendors., • Direct capital projects such as major design changes, performance and process improvement changes, and reliability analysis and related improvements., • Assist the Boston Operations Manager with reviewing price quotes for the procurement of parts, services, and labor for ongoing property maintenance and special projects., • Understand existing elevator and fire/life safety systems maintenance, making recommendations for process or capital improvements, and assisting in project management of modernization of any of these systems., • Maintain records related to property permits, licenses and environmental requirements.Experience, • Minimum 4 years of experience providing facilities support in the commercial, multi-family, or hospitality industry, • Strong working knowledge of all building systems including but not limited to MEP, commissioning, life and fire safety, elevator modernization, HVAC, and other centralized systems, • You are data-driven, with metrics on your mind, and have the ability to interpret and analyze financial and non-financial data, • You have a high level of independence and can make thoughtful decisions, even in fast-paced and ambiguous operating environments, • You are obsessive about clear documentation of learnings, and always approach a problem with the mindset of how you could scale the solution to 100x the size, • You communicate with clarity and empathy and can deliver impactful presentations to both senior business leaders as well as daily operations staff, • You have excellent time management skills and enjoy juggling multiple time-sensitive projects at the same time, • You're comfortable lifting items up to 50 pounds, • You can handle stressful situations with a calm and positive demeanor, • Travel is part of your DNA and you have a passion for the real estate, tech, and hospitality industryPlus if..., • You've worked for small and large enterprise companies, • You have familiarity with the Short Term Rental (STR) industryIn one year, you will succeed at Kasa by having:, • Become an invaluable resource to our team regarding property facilities operation and upkeep, • Earned the trust of cross-department leaders and managers to be a valued and reliable partner for Kasa's experimental property efforts, • Established at least one new tool or process that increased Kasa quality standards Curious about the Kasa experience? Save 15% when you book on kasa.com Benefits * Kasa Travel Credit: We love to travel! Kasa employees get an allowance of free stays with us in any of our locations, plus a discount on any night for friends and family. • The Pay: The starting base pay for this role is $70,000 and is set based on multiple considerations, including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified. This role may also be eligible for equity, bonus, perks, benefits, and Kasa Travel Credits. Paid Time Off: Full-time hourly Kasa employees accrue paid time off at a generous rate that increases with tenure. * Health Coverage: We've invested in comprehensive health insurance options to help when you need it most, including a company-sponsored plan with fertility coverage. Who We Are Kasa is the leading tech-enabled hotel and apartment hotel brand and manager. Kasa has built a hospitality operating system that fundamentally improves the profitability of hospitality assets while delivering a high-quality, digitally forward experience to guests. We partner with owners of multifamily and boutique hospitality properties to provide stylish, professionally managed accommodations to business and leisure travelers. We took the best that hotels and short-term rentals had to offer and created a new class of hospitality that is well-priced, reliable, and offers a large selection of great locations! Behind the scenes, we build technology that combines with our innovative operations to grow a globally scalable offering that delivers high-quality stays to guests. Our guests enjoy seamless check-ins, caring service, and attractive amenities. If anything comes up, our on-site and remote guest experience team is available throughout their stay, ensuring our hospitality is rarely seen but always felt. Kasa is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by law. All employment is decided based on qualifications, merit, and business need. Kasa is an E-Verify participant. We will verify the identity and employment eligibility of all persons hired to work in the United States by matching information employees provide on the Form I-9 against records available to the Social Security Administration (SSA) and the Department of Homeland Security (DHS). You may find more information here and here. Kasa does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or People & Talent team. A Note on Recruiting & Job Scams The Kasa Talent Acquisition team will only communicate from email addresses that use the URLs kasa.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money or technology to work for our company. If you believe you are a scam victim, please review your local government consumer protections guidance and reach out to them directly. US-based applicants may refer to this article from consumer.ftc.gov for more details.

Job DescriptionPosition: Controls Application Engineer Start Date: Immediate As a Controls Application Engineer, you will be responsible for developing BMS/SCADA applications at both a supervisory and controller level. You will help refine engineering standards and provide remote support to project and field teams. You will also be involved in providing support across multiple engineering functions within the Controls Engineering group. You should be familiar with both DDC and PLC programming, BACnet & Modbus integrations, and have experience with building graphical front-end client interfaces.Controls Application Engineering • This position will report to the Controls Engineering Manager., • Develop BMS applications across multiple platforms: e.g., Niagara, Ignition, Wonderware, Distech, PLC's., • Support the development and enforcement of engineering standards for programming, graphics, alarming, tagging, history management, and database creation., • Provide remote technical support to Project Managers and Field Engineers during project execution. Qualifications, • 10+ years of experience in the engineering field, preferably in Building Automation or Controls Engineering., • 5+ years of BMS application development experience, with mission critical experience preferred., • Strong knowledge of DDC control theory & HVAC applications and the ability to apply these principles to real-world scenarios., • Basic networking knowledge; addressing & subnetting, IP + serial device configurations., • Comfortable working with industry standard protocol integrations such as: BACnet, Modbus, Ethernet/IP, SNMP, MQTT., • Basic networking knowledge, including manipulating PC settings to set up and commission devices on a network., • Experience with servers, network equipment, and IoT practices, specifically for BMS applications., • 2+ years of experience with Niagara platform (Niagara N4 certification is preferred)., • Familiarity with Distech field controllers and GFX programming, Ignition SCADA, Wonderware, and PLC systems., • Proficiency in Microsoft Office Suite.Competencies, • Must be able to work independently and in a team, handling multiple tasks across different projects., • Strong troubleshooting skills, with the ability to identify problems and develop effective solutions., • Knowledge of the construction contracting industry, especially in MEP fields, with experience in mission-critical environments a plus.

Job Description Plastik AI is harnessing the power of artificial intelligence to revolutionize the plastic and plastic compounding industries, bridging the gap between engineers using plastics and manufacturers creating them. At the core of our platform is Herman, an advanced AI agent designed to match product requirements with ideal plastic compounds. Herman leverages a combination of public and proprietary data to enable rapid and precise material recommendation, which can be easily ordered within a marketplace. We are looking for a skilled Full-stack Software Engineer to play a key role in building the front-end and back-end infrastructure for tools and interfaces that make Herman accessible to engineers and manufacturing companies. In this role, you will mainly drive and implement the design, development, test, and delivery of UI features that expose the portfolio’s rich capabilities for users while providing exceptional easy-to-use experiences. Our ideal candidate has more experience with front-end development but is capable of interfacing with the entire stack for rapid feature deployment. We see a combination of these skills as crucial for helping us meld our novel user experiences with AI Agents to enable easy plastic selection, sourcing, and logistics. This transformative approach unlocks new possibilities in plastics innovation, enabling faster, smarter, and more efficient product development and material discovery. As part of our cross-disciplinary team, you will work alongside MIT-trained engineers, scientists, and business professionals to build a groundbreaking AI platform for the plastics industry. Join us in transforming how the world approaches plastic materials through cutting-edge technology and innovation. Our stack: Javascript, React, React.js, Postgres, AWS, Kubernetes, Python, PyTorch Job Responsibilities Collaborate with software, the executive team, and developers to automate business-critical workflows. • Web Application Development – Owning and developing all aspects of the front-end web applications, infrastructure, and analytics. Implement UIs with clean, responsive, and accessible Javascript, Typescript, HTML, and CSS as needed to support the back-end team. Work with other engineers and designers to bring UI designs from concept to implementation through rapid prototyping and evaluation of design ideas., • Data & Analytics – Develop custom dashboards, automate reports, and provide insights for data-driven decision-making. Write automated tests for the continuous delivery pipeline and meet development quality objectives., • Software development and integration - Integrating our application with various third-party applications, systems, and APIs to ensure seamless data flow and process automation., • Project management and leadership - Collaborating with cross-functional teams, including business analysts, project managers, and quality assurance, to gather requirements, provide technical insights, and ensure successful project delivery., • Troubleshooting and support - Identifying, diagnosing, and resolving technical issues and bugs within our applications to ensure a smooth user experience. Creating and maintaining technical documentation for our custom modules, and integrations for future reference and knowledge sharing., • Bachelor’s or Master’s degree in Design, Computer Science, or related fields, or equivalent professional experience., • 5+ years of experience as a Front-end developer with experience building out back-end services., • Expertise in web application development – customization, module development, and system administration., • Strong programming skills in JavaScript, Python, and PostgreSQL., • Experience building APIs, databases, and front-end development., • Experience with server-side web application development. Full-stack development experience preferred., • Familiarity with IT security, cloud hosting, CI/CD, and DevOps best practices., • Competitive salary and equity options., • Health insurance and other benefits., • A collaborative and innovative work environment with opportunities for professional growth., • The chance to work on transformative technologies in the plastics and AI space.

Job DescriptionZoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizing throughput. The Software Core Performance team’s mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets. As a performance software engineer within the Software Core Performance team, you will instrument, monitor, analyze, and optimize performance-critical algorithms. Your broad experience in developing, debugging, and optimizing software will enable AI software to run as efficiently as possible.In this role, you will: * Build real-time instrumentation for performance monitoring of the system as well as benchmarking frameworks to support offline performance evaluation. * Create performance-optimization workflows (quick iteration loops) to evaluate and analyze performance at scale. * Analyze profiling data to identify resource utilization hotspots and optimization opportunities. * Propose and co-implement actionable solutions with software component teams. * Support teams in helping to squeeze out the maximum performance of their code, while minimizing resource contention. Qualifications • 6+ years of professional experience in software development or related fields Hands-on experience in the development, debugging, and profiling of complex multi-process real-time systems, like game engines or robotics systems * Strong knowledge of C++ and experience in large code bases * Familiar with CPU system architecture and OS fundamentals * Good communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills Bonus Qualifications * Experience using various Linux performance monitor tools, such as perf, eBPF, Perfetto * Kernel and/or driver development experience * Experience with software & hardware benchmarking and Hardware-in-the-Loop (HIL) systems Base Salary Range 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 only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionMotional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options. The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year. We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization. What You'll Be Doing: • Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion)., • Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets., • Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning., • Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation., • Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team., • Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering. What We're Looking For: • 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus., • Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices., • Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis., • Proficient with Git and standard version control workflows., • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership)., • Proven ability to work both independently and effectively as part of a multidisciplinary team., • Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing., • Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment. Bonus Points (not required): • Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)., • Familiarity with simulation environments and data generated from AV simulations., • Experience with data visualization tools (e.g., Looker) for presenting performance metrics., • Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.Success Metrics:, • Successful design and implementation of key autonomous vehicle performance metrics., • Improvement in the efficiency and effectiveness of AV performance evaluation processes., • Timely and accurate delivery of data and insights to AV development teams. Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Travel Requirements (greater than 20%): Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business. Working Environment: The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$125,000—$167,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description We are seeking a highly skilled and motivated Lead Quality Engineer to take full ownership of our quality assurance efforts. This is a high-impact, ground-floor opportunity to define, build, and scale our Quality Assurance (QA) function from scratch. You will leverage both a strong QA mindset and deep technical expertise to establish a repeatable and scalable QA process. As a core member of the delivery team, you will ensure our products meet the highest standards of reliability, performance, and user experience. Work Includes: Quality Engineer Strategy and Process Ownership • Design, implement, and own an organization-wide, scalable QA framework, upholding quality as a proactive, first-line of defense., • Define and institutionalize best practices for bug identification, prevention, and resolution, while reinforcing QA beyond basic peer review., • Define, plan, and run a comprehensive User Acceptance Testing (UAT) cycle every release/sprint., • Partner with Product and Engineering to write detailed QA plans before development begins, ensuring full coverage of business and technical requirements. Hands-On Testing and Automation • Perform hands-on QA using a risk-based approach, leveraging manual, exploratory, and automated testing techniques., • Create, execute, and maintain automated test scripts, primarily for React UIs, with deep experience required in Playwright., • Maintain and evolve automated testing frameworks to support growing product needs and team capacity., • Decompose product requirements into comprehensive test cases, ensuring full coverage of business and technical needs., • Write and execute SQL queries to validate data integrity and troubleshoot backend issues., • Complete code review analysis. Collaboration, Mentoring, and Defect Management • Identify, track, document, and triage bugs, collaborating with Engineering to determine severity and prioritization for efficient resolution., • Work within a Scrum/Agile team, sharing QA best practices, and mentoring teammates to improve overall testing strategies., • Make informed decisions on what, when, and how to automate, balancing efficiency with development speed and aligning with CI/CD pipelines. Qualifications • Must be a U.S. Citizen; Work Visa is not eligible., • 5+ years of experience as a Quality Engineer., • 3+ years of experience leading a team, • Proven success owning or building QA processes from scratch, particularly within small or mid-sized technology companies., • Deep experience with automated testing frameworks, • Experience debugging applications, analyzing logs, and using developer tools to investigate issues., • Ability to write and optimize SQL queries for testing and troubleshooting purposes., • Strong proficiency with GitHub and familiarity with modern development workflows and version control (e.g., Git)., • A strong QA Mindset, • Ability to clearly articulate test findings, risks, and recommendations to technical and non-technical stakeholders across various time zones., • Strong understanding of Agile methodologies and familiarity with ticketing systemsCompany DescriptionAt Discovery Machine® Inc., we are revolutionizing the future of technology with our pioneering Artificial Intelligence (AI) solutions. We are scaling cutting edge AI solutions throughout the Department of Defense (DoD). If you are passionate about technology; if you love finding ground-breaking solutions to complex, cutting-edge technical problems; if you are determined to work at a small company, with a team of mentors and colleagues dedicated to helping you grow; then look no further, we want you to apply! Made of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.At Discovery Machine® Inc., we are revolutionizing the future of technology with our pioneering Artificial Intelligence (AI) solutions. We are scaling cutting edge AI solutions throughout the Department of Defense (DoD). If you are passionate about technology; if you love finding ground-breaking solutions to complex, cutting-edge technical problems; if you are determined to work at a small company, with a team of mentors and colleagues dedicated to helping you grow; then look no further, we want you to apply!\r\n\r\nMade of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Sr. AI Engineer at Klaviyo, you'll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You'll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more. How You Will Make a Difference * Design and build backend systems that support scaling our AI solutions for 167K+ customers. * Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume. * Develop robust, reliable and scalable services to serve AI models in production environments. * Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant. * Contribute to a culture of ownership, experimentation, and customer-centric product thinking. Who You Are * 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures. * Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. * Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities. * Proficient in Python and modern backend frameworks (FastAPI, Django preferred). * Experience creating human and automated evals to ensure high AI model quality. * Proficient in big data tools such as Apache Spark and Hadoop. * Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis). * Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic). * Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines. * Skilled at designing and building robust APIs. * Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment. * Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field. * Comfortable collaborating directly with product managers and customers to shape solutions. Nice to Have * Trained ML models in the past and deployed them in production systems to generate impact to businesses. * Experience in reinforcement learning. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft, XBAT, like no other—one that will push the boundaries of innovation and performance. As a Component Engineer at Shield AI, you’ll own the selection, qualification, and lifecycle management of electronic components across our products. You will drive component decisions that reduce risk, control cost and ensure long-term product reliability and survivability. This role sits at the intersection of engineering, supply chain and reliability. What you'll do: • Own component data and governance in PLM (part creation, attributes, AML/AVL, lifecycle states), • Review and approve new component requests, • Define baseline quality requirements for COTS components and enforce them through design BOM reviews, • Monitor and assess PCNs and lifecycle changes (NRND/EOL), and drive mitigation actions through Engineering Change Orders (ECOs), • Partner with Electrical Engineering to select components that meet performance, cost, and availability targets, • Build and maintain preferred parts lists and approved vendor lists (AVL), • Support supply chain with alternate part evaluations and second-sourcing strategies, • Engage directly with suppliers to resolve technical questionsRequired qualifications:, • B.S. in an engineering field., • 5+ years of relevant experience, • Understanding of Product Lifecycle Management (Arena, Teamcenter), ECAD tools (Altium) and structured component libraries, • Strong judgment in balancing performance, cost and supply chain risk, • Demonstrated track record of ownership, high standards, and effective collaborationPreferred qualifications:, • Degree in electrical engineering or computer science, • Familiar with industry-standard component qualification process (AEC-Q, NASA, JEDEC, MIL, etc), • Knowledge of electrical component manufacturing processes and common failure modes., • Proficiency in Python/SQL Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSenior Network EngineerEmployment Type: Full TimeDepartment: Information Technology CGS is seeking an experienced Senior Lead Network Engineer to join a team focused on the evaluation, enhancement, and maintenance of a large-scale network project that includes both wired and wireless network infrastructure and related hardware & software. The project's objectives are to evaluate the current setup of existing disparate networks and design & implement a network infrastructure that encompasses the wireless, wired, and software network requirements. The project will also include consultation regarding hardware and software necessary to facilitate the proper support for this encompassing infrastructure, and the associated systems testing, vulnerability assessments, and quality assurance needed to implement the new setup. This Network Engineer will interface with state and local governmental personnel, internal stakeholders, subject matter experts, and vendor(s) who will provide development services. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Operate and manage NPS network infrastructure;- Improve infrastructure monitoring and reporting capabilities based on the deployment of network management software;- Develop, maintain and deliver infrastructure documentation relating to the network infrastructure within the NPS environment;- Review current best practices and provide recommendations for architecture, design, management and operation of the network infrastructure;- Administration of the Cloudpath (or equivalent) onboarding process, monitoring and troubleshooting of wireless network health, maintenance of wireless network infrastructure, implementation of network security patches and software/firmware updates, from 0800 to 1700 PST, Monday-Friday;- Assess the NPS network infrastructure and make recommendations on improvement and optimization;- Define and conduct testing procedures for new infrastructure projects;- Implement technology solutions within the NPS network environment;- Provide design guidance on network solutions within NPS infrastructure projects;- Provide informal training and knowledge transfer to NPS resources on best practices and theory of operation relating to network products. Qualifications:- Bachelor’s Degree from an accredited college or university in Engineering, Computer Science, Business, Information systems or a related discipline.- Strong documentation skills including updating JIRA Tickets, Wiki Pages and Network Diagrams- Ability to communicate with end users, cross-organizational staff and technical assistance center.- CWNA Certification or equivalent- BCNE Certification or equivalent- Experience utilizing (RF) site survey tools such as Ekahau, RF Scanners and Wireshark packet capture software- Strong knowledge of layer 2 switching and layer 3 routing protocols; including VLANs, 802.1w, OSPF and VRRP- Strong knowledge of network security including; 802.1x, MAC Authentication, ACLs, RADIUS and Certificate of Authority (CA)- Strong knowledge of troubleshooting RF and LAN issues- Working knowledge of LINUX, MS Server 2013, VMware, etc.- A Master’s Degree in Engineering, Computer Science, Business, Information systems or a related discipline- At least 3 years experience with disaster recovery plan creation / implementation testing or projects - Experience with penetration testing, vulnerability assessment, and vulnerability testing- Experience with cyber threat information collection and analysis- Working knowledge of Agile/SCUM project management methodologies- Additional Industry certifications/licences Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale. We’re looking for our first Site Reliability Engineer to own and scale the reliability of our production systems. This role will be critical in ensuring high availability across our Developer APIs platform and Enterprise products, while building the foundations for monitoring, incident response, and operational excellence as we grow. Your Impact You will play a foundational role in ensuring Modulate’s systems are reliable, scalable, and enterprise-ready. * Own the reliability and availability of Modulate’s production infrastructure * Build monitoring, alerting, and incident response systems from the ground up * Establish sustainable on-call practices that balance reliability with team health * Partner with engineering and leadership to shape infrastructure and reliability strategy * Help define how Modulate delivers enterprise-grade uptime and performance What You Will Do * Own and operate production systems supporting Modulate’s APIs and enterprise products * Design and implement monitoring, alerting, and observability systems * Lead incident response, root cause analysis, and postmortem processes * Build and improve on-call rotations and operational workflows * Collaborate with engineers to deploy, maintain, and scale distributed systems * Partner with leadership on infrastructure decisions, roadmaps, and reliability goals * Evaluate and support deployment models including cloud, on-prem, and hybrid environments * Continuously improve system performance, resilience, and scalability What We Are Looking For * Experience deploying and maintaining production software systems * Experience building monitoring and alerting systems for production environments * Experience with on-call rotations and incident response * Strong experience with AWS, Python, and Linux * Familiarity with tools such as CloudWatch, SNS, PagerDuty, or similar technologies * Strong debugging, systems thinking, and problem-solving skills * Ability to communicate effectively during high-pressure incidents * Experience working in fast-paced or early-stage environments Nice to Have * Experience with AWS services such as EC2, load balancers, RDS, SQS, SES, and CloudWatch * Experience with infrastructure-as-code (e.g., Terraform, CloudFormation) * Experience supporting high-scale, distributed systems * Familiarity with hybrid or on-prem deployment models Benefits At Modulate, we prioritize people and sustainability—because doing great work requires feeling supported and safe. Some of our key benefits include: * Competitive salary + equity * Full health, dental, and vision coverage * Flexible PTO, with a strong culture of taking it * Weekly team lunches with dietary accommodations * Hybrid work: core in-office days with flexible remote options * Regular leadership and industry learning sessions * Support for career development and continued learning * Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay Transparency Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience. Salary: $150,000 - $200,000 Equity: Offered Other perks: HSA, FSA, 15 holidays, professional growth resources About Modulate Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We’re trusted by leaders in gaming and beyond—and we’re growing fast. We believe that great cultures don’t just happen. That’s why we’ve built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we’re building technology that does the same. Ready to join us? Apply here or reach out directly—we’re excited to meet you. A quick note as you apply We kindly ask that you apply through the website rather than emailing . For the questions “Your fit for the role,” “Your values/goals,” and “Why Modulate?” on our application form, we kindly ask that you focus your responses on experiences and motivations that directly relate to the role. Please avoid including details that would reveal protected demographic information (such as race, age, gender, ethnicity, or sexual orientation), as we strive to assess all candidates equitably and without bias. We also want to hear your authentic voice. While it can be helpful to use tools to support your thinking, we ask that your responses reflect your own perspective. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you. You will report into the Director of AI and App Engineering and …. How you'll make a difference: • Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance., • Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability., • Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees., • Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies., • Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale., • Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques., • Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently., • Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting., • Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production., • 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production., • Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API., • Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks., • Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI., • Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models., • Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi., • Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$112,000—$168,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative product design engineer looking to help develop state of the art AI and aircraft products? Are you eager to make a positive difference in the world? Do you want to work alongside mission driven and values focused teammates? Shield AI is just the place for you! As a Mechanical Engineer, you will be responsible for contributing to the mechanical design and development of Shield AI's autonomous UAV products. You will help architect new products, perform the detailed design of complex electro-mechanical assemblies, and will use best in class design and analysis tools. You will collaborate closely with internal and/or external partners to prototype, test and release products to production. You will also help ensure product features achieve performance, schedule and reliability goals. What you'll do: • Design complex mechanical mechanisms for autonomous aircraft, • Own the full design process: concept, CAD, tolerance analysis, material selection, and drawing release, • Perform structural and kinematic calculations and preliminary FEA, • Prototype, test, and iterate mechanism designs for functionality and reliability, • Collaborate with electrical, avionics, flight controls, and propulsion teams, • Mentor junior engineers and promote engineering excellence, • Support pre-production builds, prototype integration, and ground/flight testingRequired qualifications:, • B.S. in Mechanical/Aerospace Engineering, • 8+ years in mechanical or mechanism design, • Strong CAD skills (NX preferred), • Kinematic analysis and optimization, • Structural analysis utilizing hand calculations and finite element methods, • FEA analysis: Modal, non-linear and linear, buckling, fatigue, • GD&T and tolerance stack-ups for mechanical systems, • Materials selection inclusive of alloys, heat treatments, allowables, and finishes, • Ability to work independently and lead in fast-paced, cross-functional teams, • A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to othersPreferred qualifications:, • Experience with UAVs, aircraft, or robotic systems, • Familiarity with hydraulic and electro-mechanical actuators, • Proficiency in FMEA, DOE, and root cause analysis, • Hands-on machine shop or mechanic experience (professional or hobby), • RTCA DO-160, MIL-STD-810, structural or actuated mechanism testing experience Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Mission: We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: • Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software., • Drive innovation by researching and developing new large scale data warehousing and analysis., • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software., • Build high-quality datasets to improve ML products through training & edge case validation., • Provide statistical depth on model performance & generalization through rigorous error and change analysis., • Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement., • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • Excellent leadership, communication, and problem-solving skills., • Proven record leading a small diverse dedicated team supporting a large user base., • Experience in machine learning, data mining, and statistical analysis., • Proven experience in developing and deploying large scale cloud frameworks., • Strong programming skills in Python., • Experience with large-scale data processing and distributed computing technologies. Bonus Points: • Ph.D. in Computer Science or a related field., • Experience with cloud platforms such as AWS, Google Cloud, or Azure., • Experience with machine learning in the autonomous driving domain., • Publications or contributions to the AI/ML community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$200,000—$275,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Location: Our Solutions Engineer, SELECT by DoiT, will be an integral part of our Solutions Engineering team in North America. This role is based remotely in the US East. Who We Are DoiT is a global technology company that empowers cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from initial planning to full-scale production. With deep experience across cloud environments, we specialize in Cloud Data Platforms such as Snowflake, Databricks, and BigQuery, alongside strong FinOps expertise. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we support over 4,000 customers worldwide. Our flagship offerings include DoiT Cloud Intelligence, which uniquely blends advanced technology with human insight to solve complex multicloud challenges and drive efficiency. We also offer SELECT for Snowflake—a pioneering solution for cost observability and optimization (with Databricks and BigQuery support coming soon). By automating optimizations and delivering actionable cost-saving insights, SELECT enables organizations to achieve unparalleled efficiency across their Cloud Data Platforms. The SELECT platform offers: • Automated savings on day one: An autonomous optimization engine that suspends idle compute and spins down excess clusters without requiring engineering time, saving customers 10-20% with minimal human intervention., • Targeted insights that stack-rank savings opportunities: Actionable recommendations that surface oversized resources, inefficient queries, and unused tables, prioritized by savings potential so teams know exactly where to focus., • Full cost visibility, down to the workload: Granular attribution across queries, jobs, teams, and departments, giving organizations the context to compare Cloud Data Platform spend against the business value provided., • Cost control and spike prevention: Budget tracking, forecast tooling, and configurable alerts that not only notify teams of runaway spend but immediately surface root cause analysis, eliminating the need to jump between consoles. Responsibilities • Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions., • Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements., • Platform Demonstrations: Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns., • Business Case & ROI Development: Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT., • SELECT Expertise: Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience., • Technical Win Ownership: Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution., • Event & Conference Presentations: Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities., • Product Feedback and Customer Advocacy: Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions. About You You are an accomplished Solutions Engineer with a proven track record in a B2B SaaS environment, ideally with a strong emphasis on Snowflake/Databricks/BigQuery solutions. You excel as a technical leader within a sales team and are enthusiastic about empowering companies to optimize their Cloud Data Platform environments for maximum cost efficiency and performance through innovative solutions like SELECT. You are highly accountable for the technical success of all initiatives you are involved in and are driven to contribute to a high-performing sales organization that consistently wins in a competitive market. You are comfortable and thrive in a fast-paced, growing, collaborative, and entrepreneurial setting. Qualifications • 5+ years of experience in a Solutions Engineering role within a B2B SaaS software company, having a significant portion of that experience focused on selling to Snowflake, Databricks and BigQuery users and directly addressing challenges related to Cloud Data Platforms or cloud cost management., • Deep and demonstrable understanding of Snowflake, Databricks, or BigQuery as well as associated best practices, • Hands-on experience working with SaaS solutions focusing on Cloud Data Platforms in the areas of observability, optimization, FinOps, or data integration., • Exceptional data analysis skills with a proven ability to identify key trends, outliers, and correlations as well as the translation of those observations into actionable insights., • Strong track record of leveraging product data to construct compelling business cases and ROI justifications for prospective customers, clearly demonstrating the substantial cost savings and performance enhancements achievable through our solution., • Exceptional ability to articulate complex Cloud Data Platform related concepts and SELECT functionalities in a clear, concise, and easily understandable manner to both technical and business audiences., • Outstanding verbal, written, presentation, and interpersonal communication skills, with the confidence and expertise to present on sophisticated topics such as Cloud Data Platform optimization strategies and the compelling value proposition of SELECT., • Strong intellectual curiosity, exceptional problem-solving abilities, and a genuine passion for continuous learning and improvement within the dynamic Snowflake/Databricks/BigQuery ecosystem., • Proven experience working with and presenting to executive-level prospects and customers on critical topics related to Cloud Data Platforms and especially cost management., • Demonstrated experience with modern technical selling best practices/methodologies and a successful track record in competitive sales environments, including the ability to contribute to and implement effective trial, demo, and RFP processes specifically tailored for Cloud Data Platform optimization solutions like SELECT., • Prior professional experience as a Snowflake/Databricks/BigQuery data engineer/architect or FinOps professional is a plus. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we're here and happy we hit that 'apply' button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend #LI-Remote

Job DescriptionThe Elevator Pitch Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization, responsible for building and operating the scalable, secure, and reliable data pipelines that power our AI/ML research and production systems. In this role, you will own the end‑to‑end data lifecycle—from collection on thousands to millions of edge devices, through cloud ingestion and processing, into a centralized data factory enabling model training, evaluation, and continuous improvement. Data is the backbone of our mission to deliver best‑in‑class AI‑based weapon detection systems. You will ensure that data flows seamlessly across geographies, devices, and cloud systems while meeting strict requirements for quality, privacy, security, and scale. This role is ideal for someone who thrives at the intersection of distributed systems, cloud pipelines, and ML‑driven data needs. Success in the Role: What performance outcomes will you work toward in the first 6–12 months? In the first 30 days: • Develop a deep understanding of existing edge‑to‑cloud data pipelines and deployment environments., • Review current data ingestion flows, governance policies, and cloud infrastructure., • Assess pain points in data reliability, quality, and operational scalability., • Build relationships with AI/ML, data science, field operations, and cloud engineering teams., • Design and implement improvements to core ingestion, validation, and processing pipelines., • Deploy scalable data pipeline with AWS‑based components (S3, EC2, Lambda, Glue, Step Functions, SageMaker integrations)., • Introduce automated validation workflows to detect corruption, missing metadata, or malformed data., • Design and implement automated model evaluation, model training and model improvement pipeline to speed up experiments, • Own the entire lifecycle of mission‑critical data pipelines supporting AI/ML research and production., • Architect next‑generation edge‑to‑cloud data systems that scale across millions of devices., • Define and enforce data governance frameworks including retention, access control, privacy, and lineage., • Enable ML teams to rapidly experiment through high‑quality, discoverable, versioned datasets. The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? End‑to‑End Data Pipeline Ownership: • Design, build, and maintain both research and production data pipelines spanning edge devices, cloud services, and centralized data platforms., • Own the full data lifecycle: collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement., • Edge‑to‑Cloud Data Flow:, • Develop resilient ingestion pipelines capable of handling variable connectivity and device heterogeneity., • Support secure data transfer from the field to cloud storage systems., • Collaborate with field ops to enhance data coverage, observability, and operational robustness., • Data Quality, Governance & Compliance:, • Implement privacy‑preserving transformations and obfuscation pipelines., • Build automated cleaning/validation steps to remove duplicates, detect corruption, and validate metadata., • Provide scalable data services for model training, evaluation, and research experimentation., • Support continuous data refresh and retraining workflows., • Integrate with data labeling services and annotation workflows., • Build and optimize pipelines using AWS services (S3, EC2, SageMaker, Lambda, Glue, Step Functions)., • Partner with AI/ML engineers, scientists, and data scientists to understand data requirements., • Translate feedback into automated improvements in data collection, labeling, and consumption., • Design and manage data schema, data versioning and data factory updates, • Architect systems that scale globally across millions of devices., • Ensure the data platform remains flexible for research and reliable for production operations. Qualifications: Minimum Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field., • 2-3+ years of experience building production data pipelines and data platforms that support AI/ML models., • Strong proficiency in Python, C++ and distributed data processing frameworks., • Hands‑on experience with AWS services including S3, EC2, SageMaker, and Glue., • Experience designing data systems that support large‑scale ML training and experimentation., • Knowledge of data governance, access control, and lifecycle management., • Experience collaborating with ML, data science, operations, and cloud teams. Preferred Qualifications: • Experience building pipelines spanning edge devices and cloud systems., • Background working with large‑scale sensor, image or IoT data., • Familiarity with data labeling tools and annotation workflows., • Experience implementing dataset versioning, lineage, and reproducibility systems., • Understanding of privacy, compliance, or regulated data environments., • Experience supporting global, multi‑region data platforms. Example Problems You Will Own • Design a resilient global ingestion pipeline aggregating sensor data from millions of devices., • Build ML‑ready data services enabling easy discovery, versioning, and consumption of datasets., • Implement automated validation and cleaning workflows that dramatically reduce bad data., • Define and enforce lifecycle and governance policies across research and production datasets. What is leadership like for this role? What is the structure and culture of the team? • You will join our R&D organization, reporting directly to VP of ML and sensors. In this role, you will interface with cross-disciplinary teams of highly skilled and autonomous engineers with expertise in Electromagnetics, Computer Vision, and AI. Our R&D organization includes more than 100 dedicated developers, engineers, scientists, managers and directors, each bringing deep technical knowledge and a strong culture of collaboration and support., • The team culture is one based on building trust, collaboration, on-going development through kindness, authenticity, courage, drive, and fun! Where is the role located? This role is based at our headquarters in Waltham, Massachusetts. Due to the nature of our software-enabled hardware products, this position requires a minimum of 60% or 3 days per week on-site work. Candidates MUST live within commutable distance to our office in Waltham, MA What is the salary range? The base salary range for this full-time position is $129,000 - $209,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. · Please note that the compensation details listed in role posting reflect the base salary only, and do not include commission, equity, or benefits Benefits At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: • Do the right thing, always;, • Put people first', • Own it;, • Win together; and continue to, • Be bold, stay curious. Our Benefits Include: • Equity as part of your total compensation package, • Medical, dental, and vision insurance, • Health Savings Account (HSA), • A 401(k) plan (and 2% company match), • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind, • Quarterly stipend for perks and benefits that matter most to you, • Tuition reimbursement to support your ongoing learning and development Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job Description Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale. We’re looking for a Machine Learning Operations Engineer to own and scale the production inference systems behind Modulate’s machine learning models. This role will focus on ensuring high availability, reliability, and efficiency of deployed models across our APIs and enterprise products as we rapidly grow in customer usage and model demand. Your Impact * Own the reliability and performance of ML model inference systems in production * Ensure high availability of deployed models across APIs and enterprise products * Build systems to handle scaling, load variability, and production traffic growth * Reduce operational burden through better tooling, automation, and processes * Help define how Modulate runs ML systems at scale with reliability and efficiency What You Will Do * Deploy, monitor, and maintain production machine learning inference systems * Oversee fleets of inference machines and ensure system health and performance * Design monitoring, alerting, and incident response systems for ML workloads * Participate in on-call rotations and lead incident response and debugging * Build systems and processes for scaling inference infrastructure under variable load * Improve reliability and observability of production ML services * Collaborate on infrastructure-as-code for production deployments * Support or contribute to GPU-based training and inference infrastructure * Work closely with ML and engineering teams to ensure smooth model deployments * (Optional growth area) Optimize model inference performance and latency What We Are Looking For * Experience deploying and maintaining production software systems * Experience building monitoring and alerting systems for production environments * Experience with on-call rotations and incident response * Strong experience with AWS, Python, and Linux * Exposure to PyTorch or similar ML frameworks * Experience working with GPU-based applications and basic GPU tooling (drivers, runtime, monitoring) * Strong debugging and systems thinking skills * Ability to operate calmly in production incident environments Nice to Have * Experience with ML model serving systems or dedicated model servers * Experience monitoring GPU performance for inference workloads * Experience optimizing machine learning model inference * Familiarity with audio or multimedia data (codecs, streaming, real-time systems) * Experience with infrastructure-as-code (e.g., Terraform, CloudFormation) Benefits * Competitive salary + equity * Full health, dental, and vision coverage * Flexible PTO with strong culture of taking it * Weekly team lunches with dietary accommodations * Hybrid work with core in-office days and flexible remote options * Leadership and technical learning sessions * Career development and continued learning support * Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay Transparency Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience. * Salary: $150-$200K * Equity: Offered * Other perks: HSA, FSA, 15 holidays, professional growth resources About Modulate Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We’re trusted by leaders in gaming and beyond—and we’re growing fast. We believe that great cultures don’t just happen. That’s why we’ve built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we’re building technology that does the same. Ready to join us? Apply here or reach out directly—we’re excited to meet you. A quick note as you apply * Please apply through the website rather than emailing * For application questions (“Your fit for the role,” “Your values/goals,” “Why Modulate?”), focus on relevant experience and motivations * Avoid including protected demographic information * Keep responses authentic and in your own voice We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking a Sensor Integration Engineer to support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors for aerospace applications. This role operates at the intersection of electrical, mechanical, and software engineering, requiring the ability to work across disciplines and directly contribute to cross-functional engineering efforts. What you'll do:Sensor Selection, Integration & Characterization: • Support sensor integration activities from specification through production, • Develop and execute sensor characterization and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensors, • Contribute to sensor trade studies and selection processes Cross-Functional Collaboration:, • Work closely with electrical engineering, mechanical engineering, and software engineering teams on:, • Electrical interfaces, power distribution, and signal conditioning, • Mounting solutions, alignment, and thermal/vibration considerations, • Software interfaces, drivers, data acquisition, and calibration implementation, • Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordination, • Willingness to support occasional travel to support teammates with integration and testingTechnical Contributions:, • Develop and execute test plans for sensor performance characterization and validation, • Document sensor characteristics, trade studies, and integration requirements, • Develop or modify calibration scripts and data processing tools, • Support development of calibration procedures and tooling, • Debug issues spanning hardware-firmware-software boundaries, • Review and contribute to schematics, CAD models, and code as necessary Required qualifications:Education & Experience:, • BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related field, • 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered), • Demonstrated ability to work across at least two of: electrical, mechanical, software domains Technical Skills:, • Understanding of sensor measurement principles and error sources, • Ability to read and understand electrical schematics and/or mechanical drawings, • Basic proficiency in scripting or programming for data analysis (Python, MATLAB, or similar), • Familiarity with sensor communication protocols (SPI, I2C, UART, CAN, etc.), • Hands-on experience with lab equipment and sensor testing Cross-Functional Aptitude:, • Comfortable learning and working outside primary discipline, • Ability to communicate effectively with engineers from different backgrounds, • Willingness to engage with hardware, firmware, and software aspects of sensor systems, • Strong analytical and problem-solving skills across multiple domains Preferred qualifications:, • Experience with navigation or localization sensors (IMUs, GNSS, cameras, altimeters, etc.), • Exposure to sensor calibration or characterization activities, • Basic proficiency with engineering tools such as Altium, NX, and Teamcenter, • Familiarity with embedded systems or real-time software, • Understanding of coordinate transformations or sensor fusion concepts, • Experience with automated testing or data acquisition systems Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Mission: We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: • Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance., • Drive innovation by researching and developing new large scale data analysis systems., • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software., • Build high-quality datasets to improve ML products through training & edge case validation., • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • Strong programming skills in Python, SciPy, and related data analysis frameworks., • Experience in machine learning, data mining, and statistical analysis., • Experience with large-scale data processing and distributed computing technologies., • Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development. Bonus Points: • Ph.D. in Computer Science or a related field., • Experience with cloud platforms such as AWS, Google Cloud, or Azure., • Experience with machine learning in the autonomous driving domain. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$159,000—$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Location: Waltham, MA (hybrid 3 days in office) ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find ERGO NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow — that's where you come in. As an engineering growth engineering group, you'll not only get deep into coding on a day-to-day basis, but you will be in a position to drive technical decisions, mentor other developers, and influence the future of our front-end vision and technologies. If you are fanatical about growing your skills this is the role for you. Do you enjoy creating something new and solving problems in ways that have never been attempted? Do you want to grow your career by working side-by-side with trailblazing software engineers? Do you see yourself in a culture where you are valued, challenged, and respected? What You'll Do: • Leverage AI and LLM-powered tools to improve developer productivity, experimentation, and front-end user experiences., • Design and develop dynamic, responsive, and interactive web applications, • Translate requirements, wireframes, and conceptual designs into high quality, visually appealing, and intuitive user interfaces and user experiences, • Take ownership of front-end components and drive continual expansion, reuse, and improvement across the board, • Integrate with back-end infrastructure, mostly cloud-based, • Analyze and solve problems across all levels of the stack, • Produce clean, secure, testable, maintainable, reusable, well-documented code, and participate in and drive regular code reviews, • BS/MS degree in Computer Science, Engineering or a related subject or equivalent demonstrated experience, • 3+ years of experience with web application development, • Understanding of design principles and user interface guidelines, • Mastery of modern web development (Javascript, HTML5, CSS3), • Stay up to date with modern industry tools and emerging technologies, including AI-driven frameworks and workflows, and help evaluate how they can be applied effectively., • Demonstrated success building dynamic, responsive applications using Angular, RxJS, Node, • Demonstrated success developing and consuming APIs and microservices to facilitate data access, business logic, and workflow (RESTful services, JSON, GraphQL), • You are passionate about coding, • You care equally about what should be done and how it should be done, • You know how to start and finish, • You are able to deliver on time, • You are awesome with people, • You make things as simple as possible but not simpler, • FrontEnd Engineer (IC2): 3+ Years of Experience: $112,000-$151,000, • FrontEnd Engineer (IC3): 4+ Years of Experience: $142,000-$192,000 Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (), or you can contact your local law enforcement agency. The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: $112,000—$151,000 USD Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. Senior Software Engineer — Agentic AI Platform Location: Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world. This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents. What You'll Do • Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions, • Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines, • Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure, • Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities, • Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant), • Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows, • Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health, • Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices, • Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality What We're Looking For • 6+ years of backend engineering experience in production environments, • Strong proficiency in Python and TypeScript for building distributed, event-driven systems, • Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.), • Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models, • Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation, • Experience with infrastructure-as-code tools such as Terraform or AWS CDK, • Understanding of SQL and schema migration workflows (PostgreSQL or similar), • Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows, • Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team, • Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments Bonus Points • Experience working with LangChain, OpenAI, or Anthropic APIs, • Familiarity with agentic frameworks or AI orchestration systems, • Background in observability or APM tooling (e.g., Datadog, Dynatrace), • Prior experience building automation or infrastructure management tools, • Contributions to open-source LLM or MLOps projects, • Interest in shaping how AI is applied to real-world IT operations Why Join Apiphani You'll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments. This is an opportunity to help architect the foundations of a platform that blends infrastructure automation, AI, and agentic reasoning — where your technical decisions will shape the next generation of enterprise operations. Base Salary$120,000—$160,000 USDCompany Benefits* • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. As a Staff Software Engineer, AI you will be a key architect in SmithRx's mission to build a next-generation, AI-native pharmacy benefits platform. This is not a traditional MLE role; we are looking for a product-focused fungible engineer who can bridge the gap between cutting-edge LLM capabilities and reliable, production-grade software. You will design systems that leverage the power of AI while maintaining the deterministic rigor required for healthcare and financial transactions. You will advocate for engineering best practices/methodologies, coding standards and large-scale system design perspectives to our team. We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward. What you will do: • Focus on architecting system; discovering, designing, developing and maintaining SmithRx product features using a varied technology stack such as Golang, JavaScript/Typescript, Node, GraphQL, and SQL (amongst others), while leveraging full CI and CD to iterate quickly, • Collaborate with stakeholders and technical leads to translate requirements into high-quality, AI-native scalable software, while providing scope and risk assessments through comprehensive technical design documentation., • Be the Stochastic/Deterministic Bridge: Build the "safety rails" around LLMs, creating deterministic software systems that effectively manage, validate, and wrap the stochastic nature of AI models to ensure 100% accuracy in healthcare data., • Continually apply and enforce software development best practices, design patterns, testing, automation, tools and technologies by adoption of emerging AI technologies like Claude-code, Copilot or aikes., • Leverage AWS technologies, like Lambda, Managed Kafka, EKS to handle various types of jobs and batch processing, • Troubleshoot production issues by performing triages for issues that arise, assessing the impact, creating and executing a plan for short-term and long-term mitigation, and performing root cause analysis to prevent future occurrence of issues., • Foster a collaborative learning culture by mentoring junior engineers in both traditional backend best practices and emerging AI-native development patterns, while driving technical excellence through code reviews and the exploration of innovative technologies., • BS or advanced degree in computer science or applicable experience, • 8+ years of software development experience working on server-side applications, specifically around API servers, third party integrations and data processing, • Expertise in a compiled language such as GoLang or Java is required, • Proficiency with relational databases such as PostgreSQL, including schema design, SQL tuning, and database monitoring is required, • Working knowledge of GraphQL APIs, CI and CD pipeline, AWS platform, Docker, and Kubernetes a plus, • Agentic Frameworks, MCP, LLM APIs (Anthropic/OpenAI), Prompt Engineering/Evals., • Communication: A collaborative approach to engineering, capable of explaining technical trade-offs to stakeholders and mentoring a distributed team., • Architectural Mindset: Ability to design for scale, performance, and maintainability while navigating the ambiguity of a high-growth startup., • Positivity; non-dogmatic, team-first attitude, • Flexibility; someone who is responsive and comfortable with ambiguity, • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking a Software Engineer, Human-Robot Interaction. In this role, you'll shape how humans and robots communicate, collaborate, and build trust in real-world environments. From natural language dialogue systems to intuitive interaction paradigms, you'll design the interfaces that make our robots approachable, understandable, and effective partners for operators across diverse industries. This position sits at the intersection of robotics, AI, and human factors. You'll work closely with both research and product teams, translating cutting-edge HRI insights into field-ready interaction systems that ship to customers. You'll leverage foundation models to push beyond conventional command-and-control interfaces, enabling rich, context-aware dialogue and adaptive robot behaviors. If you're energized by bridging research and deployment to solve ambitious problems in embodied intelligence, we want to hear from you.What You Will Get To Do • Design & Build Human-Robot Interaction Systems, • Architect and implement dialogue systems that enable natural, multimodal communication between operators and robots., • Develop interaction frameworks that adapt to user expertise levels, environmental context, and task requirements., • Create intuitive mechanisms for operators to understand robot intent, state, and decision-making., • Leverage Foundation Models for Intelligent Interaction, • Integrate foundation models into HRI pipelines., • Design systems to improve the efficiency and performance of foundation models on edge., • Evaluate and iterate on model outputs to ensure safe, reliable, and contextually appropriate robot responses., • Bridge Research & Deployment, • Translate HRI research insights into practical, field-deployable systems, • Conduct user studies and field experiments to validate interaction designs, • Build robust systems that perform reliably in unstructured, real-world environments, • Collaborate Across Disciplines, • Partner with perception, planning, and autonomy engineers to create cohesive human-robot experiences., • Work with product and UX teams to align interaction designs with user needs., • Collaborate with customers to develop bespoke HRI solutions and see your work deployed in the field.What You Bring, • Bachelor’s degree in Computer Science, Robotics, Human-Computer Interaction, or a related field, or equivalent industry experience, • Hands-on experience developing human-robot interaction systems, including dialogue systems, natural language interfaces, or multimodal interaction, • Proficiency with foundation models and their integration into production software systems, • Strong programming skills in Python and C++, • Solid understanding of HRI principles, including user modeling, explainability, and trust calibration, • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams, • Ability to translate research ideas into practical, field-deployable systems, • Excellent communication skills and a highly collaborative mindsetWhat Will Set You Apart, • Master’s degree in Computer Science, Robotics, Human-Robot Interaction, or a related field, • Experience with robotics middleware for real-time systems, • Publications in top-tier venues such as HRI, CHI, ICRA, RSS, CoRL, ACL, or EMNLP, • Experience with speech recognition, natural language understanding, or dialogue management frameworks, • Familiarity with user study design and evaluation methodologies, • Contributions to open-source robotics or NLP projects

Job Description This is a remote position. As a Senior Software Engineer you will join a collaborative team working to enhance and innovate our web service to expand to new customers and further improve efficiencies. We are seeking full stack creative thinkers, who thrive in a fast-paced environment and have a high level of ownership and responsibility for the success of the team. This is a fully remote opportunity that offers an exceptional work/life balance. Hours: Ability to work East Coast Hours Primary Function: • Develop large features & improvements as well as fixes and library upgrades, • Write unit tests to maintain test coverage, • Take initiative to identify improvements to the code structure towards better maintainability and testability, • Drive coding best practices within the team, • May coach junior engineers (process, code base, best practices), • Conduct thorough and constructive code reviews to ensure quality, • Actively participate in the agile development process (design reviews, planning, and retrospectives); seek to meet commitments and proactively resolve blockers, • Write and review technical designs, • Guide and mentor junior engineers in navigating the codebase, best practices, and relevant languages., • Contribute to cross-team discussions around processes and architecture improvements, • Implement integrations with third-party services and application components, • Collaborate with peers to prioritize work and be in alignment with strategic goals, • Handle interruptions well, seek to help others reach team goals, • Keep up-to-date with relevant advances in the field, • May participate in interviews for new hires Requirements • CS fundamentals (data structure and algorithms), • Deep knowledge of modern web applications, • Expert in Python, • Proficient with JavaScript / TypeScript / React, • Good knowledge of MongoDB or SQL, • Proficient with Git, • Proficient with Docker, • Updating existing platforms, experience working with legacy systems and upgrading libraries, • Excellent problem solving, troubleshooting and debugging skills, • Excellent design & organizational skills, • Authorization to work for any employer in the U.S., • Ability to work independently in a remote environment with minimal direction/oversight, • Strong communication and collaboration skills, including experience working with cross-functional teams., • Ability to work independently in a remote environment requiring minimal direction/oversight, • Continual improvement and self-learning Education and Experience: • 7+ years of professional experience in software development of web applications., • Bachelor Degree in Computer Science or related field is a plus Physical Requirements: • Experience with AWS, • Knowledge of Kubernetes, • Experience with cross-functional teams, • Experience or curiosity with Machine Learning or AI