22 jobs found in Boston

SAAB seeks a Senior Software Engineer to design, build, and maintain secure, high-reliability solutions for defense and aerospace systems within our IT organization. You will architect and implement complex services, integrate with advanced sensors and platforms, and ensure performance and safety in mission-critical environments. Collaborating closely with cross-functional engineering teams, you will apply modern DevOps, cloud, and cybersecurity practices while mentoring peers. Join an innovative, mission-driven culture focused on long-term societal security, continuous learning, and impactful global technology development. Responsibilities Design, develop, and maintain mission-critical software for defense and aerospace systems Lead end-to-end implementation of secure, high-availability applications in a modern tech stack Collaborate with systems, cyber, and hardware engineers on complex, cross-functional projects Apply secure coding practices and support compliance with defense and cybersecurity standards Mentor engineers, perform code reviews, and drive best practices in architecture and Dev Ops Participate in requirements analysis, estimation, and technical decision-making Support integration, testing, and troubleshooting in lab and field-like environments Required Skills Java or C++Python Real-time or distributed systems design Cloud platforms (AWS or Azure) CI/CD and Dev Ops practices Containerization (Docker, Kubernetes) Secure coding and cybersecurity fundamentals Microservices and API design Relational and No SQL databases Agile/Scrum development

Job Description Job Description Adobe Marketing Technology Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced Adobe Marketing Technology Experts to support an AI training and evaluation project focused on enterprise marketing operations. The role involves testing marketing technology workflows, evaluating AI-generated outcomes, and providing practical feedback based on real-world experience. Key Responsibilities Test and evaluate marketing workflows using Adobe Workfront, AEM, Customer Journey Analytics (CJA), Adobe Analytics, and Experience Cloud . Assess integrations between content, campaign management, analytics, and digital experience platforms. Identify workflow errors, inefficiencies, inconsistencies, and unrealistic AI-generated outcomes. Provide clear feedback on usability, workflow accuracy, and user experience. Recommend improvements based on enterprise marketing and content operations best practices. Document findings and provide actionable feedback for AI model improvement. Evaluate relevant tool connectors and workplace integrations. Collaborate with project teams through structured feedback and documentation. Required Qualifications Hands-on experience with Adobe Workfront, AEM, CJA, Adobe Analytics, or Experience Cloud . Strong understanding of enterprise marketing, content, campaign, and digital experience workflows. Ability to evaluate and optimize marketing technology processes. Strong attention to detail and professional judgment. Excellent written and verbal communication skills. Ability to identify practical versus unrealistic workflow scenarios. Comfortable working independently in a remote environment. Preferred Qualifications Experience with Zoho Campaigns or similar marketing platforms. Familiarity with ChatGPT, Claude, or other AI tools . Experience in technology testing, workflow evaluation, or digital transformation projects. Experience documenting process improvements and technical feedback. Core Skills Adobe Workfront AEM Customer Journey Analytics Adobe Analytics Experience Cloud Marketing Technology Content Operations Campaign Management Zoho Campaigns ChatGPT AI Evaluation Workflow Optimization Quality Assurance

Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Humanities / arts / culture Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities Evaluate AI-generated artifacts against domain-specific quality rubrics. Identify factual, aesthetic, and presentation errors in documents , spreadsheets , and slide decks . Provide clear, structured written feedback to improve AI model outputs . Work independently and asynchronously to ensure high-quality evaluations. Collaborate with AI research teams to enhance training data quality . Qualifications Must-Have 5+ years of relevant professional experience in Humanities / arts / culture . Native or professional fluency in English . Highly proficient in Microsoft Office and Google Workspace , especially Slides . Preferred Advanced degree (Master's or higher) from a reputable institution. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Media / journalism / communications Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities Evaluate AI-generated artifacts against domain-specific quality rubrics. Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks . Provide clear, structured written feedback to improve AI model outputs . Apply deep subject-matter expertise to grade outputs for accuracy and rigor. Work independently and asynchronously to meet deadlines while enhancing AI model performance . Qualifications Must-Have 5+ years of relevant professional experience in Media / journalism / communications . Native or professional fluency in English . Highly proficient in Microsoft Office and Google Workspace , especially Slides . Preferred Advanced degree (Master's or higher) from a reputable institution. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Science Expert Type: Contract Compensation: $100-$150/hour Location: Remote Role Responsibilities Evaluate AI-generated artifacts for usability in data science contexts. Identify and correct factual, aesthetic, and presentation errors. Provide clear, structured written feedback to improve AI model outputs . Collaborate with AI research teams to enhance training data quality. Work independently and asynchronously to meet deadlines. Qualifications Must-Have 5+ years of relevant professional experience in Data Science at a top firm in the United States , United Kingdom , Canada , Australia , or New Zealand . Native or professional fluency in English . Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word). Preferred Advanced degree ( Master's or higher) from a reputable institution. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Application Users - macOS Sonoma 14.5 Expert - Professionals Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities Evaluate and utilize macOS Sonoma 14.5 as your primary desktop operating system. Capture high-resolution screenshots with more than 2.5 megapixels using a single high monitor or a dual-monitor setup. Collaborate with Mac power users , Apple-platform administrators , and creative professionals to enhance application usage. Work independently and asynchronously to meet project deadlines and improve AI model performance . Develop and implement strategies for effective window and Space management on macOS . Qualifications Must-Have macOS Sonoma 14.5 as your day-to-day desktop operating system. Ability to capture screenshots with more than 2.5 megapixels. Experience with Finder , System Settings , and bundled applications. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Brand / creative direction / marketing collateral Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities Evaluate AI-generated artifacts against domain-specific quality rubrics. Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks . Provide clear, structured written feedback to improve AI model outputs . Apply deep subject-matter expertise to grade outputs in Brand / creative direction / marketing collateral . Work independently and asynchronously to meet deadlines. Qualifications Must-Have 5+ years of relevant professional experience in Brand / creative direction / marketing collateral . Native or professional fluency in English . Highly proficient in Microsoft Office and Google Workspace , especially Slides . Preferred Advanced degree (Master's or higher) from a reputable institution. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway's insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berxi () is a fast-growing e-commerce start-up within Berkshire Hathaway Specialty Insurance. We set out to build a modern, customer-focused, digital platform to help professionals and small businesses buy and manage insurance smarter and faster - all of which saves them time and money. BHSI has an exciting opportunity for a hands-on Marketing Web Production Specialist at Berxi who can both execute and improve our client-facing WordPress experience which drives the majority of our business. This is an execution-focused role for someone who can build, troubleshoot, and optimize pages directly. You're not expected to be a developer, but you are expected to handle simple CMS fixes and partner with our web development agency to scope more complex needs. You will own page production and performance across the marketing website, translating strategy into high-quality, conversion-oriented experiences throughout the customer journey. You'll work within an established system but are expected to challenge it by identifying UX, layout, and performance gaps and implementing improvements. You'll join a small, highly collaborative marketing web team that spans content, SEO, AEO, operations, and design. Because of our size, we rely on people who can work across disciplines, move quickly, identify opportunities that improve how we operate, and implement solutions without relying heavily on engineering support. Responsibilities: Execute and optimize marketing page experiences Build 5-8+ pages per month using WordPress (Gutenberg with a custom theme), working collaboratively with SMEs to execute and influence designs Implement SEO, UX, and conversion best practices directly in-page Execute QA across devices, browsers, and breakpoints Own marketing site performance and improvement Analyze engagement and conversion signals (scroll, clicks, drop-off, quote starts) Identify and fix issues related to layout, hierarchy, CTAs, and page structure, balancing UX, SEO, and conversion goals Drive measurable improvements in conversion and engagement metrics Manage technical site health Partner with web agency but own day-to-day site performance Monitor and improve: Page speed Core Web Vitals Responsiveness Template behavior Troubleshoot issues with internal team before escalating to development agency Increase technical leverage Solve simple front-end issues using HTML, CSS, and CMS capabilities Work collaboratively with web agency to solve more complex technical and design issues and template updates Modify blocks and layouts without requiring web agency support when possible Improve page performance, structure, and usability through hands-on changes Improve systems, not just pages Identify ways to make page builds faster, more scalable, and more consistent Contribute to evolution of templates, components, and workflows What success looks like Pages are shipped quickly and consistently meet quality standards Conversion and engagement metrics improve based on your changes Site issues are identified and resolved proactively The site functions at a high technical level for humans and machines Reliance on development agency decreases Page production becomes more reliable and scalable over time Qualifications, Skills and Experience: Required 3-5 years' experience in hands-on web execution roles (web ops, CMS management, digital experience) Strong experience building pages in WordPress or similar CMS Practical ability to troubleshoot and fix simple front-end issues using HTML/CSS Demonstrable understanding of UX and content hierarchy, responsive behavior, and accessibility basics Experience using analytics (GA4 or similar) to identify and act on performance issues Strong understanding of diagnostic web metrics and Core Web Vitals (CLS, LCP, INP, TTFB) and how they impact UX, SEO, and AI-driven discovery Working knowledge of SEO/AEO execution: Applying search intent to page structure Implementing headings, internal linking, structured content Self-starter who can take on responsibility and achieve goals independently Strong collaborator who can communicate across technical and non-technical teams Ability to work 4 days per week onsite in downtown Boston Preferred Bachelor's degree in marketing, digital media, communications, e-commerce, information systems, web development, or a related field; equivalent experience considered Experience working at or managing a web agency Familiarity with tools like GTM, Clarity, Heap, GSC E-commerce experience Experience with CRO and experimentation Understanding of accessibility best practices and how to apply them Exposure to technical SEO and page performance optimization Experience in finance, insurance, or other regulated industries BHSI Offers: A competitive package and exciting growth opportunities for career-oriented teammates. A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders. A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework. Benefits that support your life and well-being, which include: Comprehensive Health, Dental and Vision benefits Disability Insurance (both short-term and long-term) Life Insurance (for you and your family) Accidental Death & Dismemberment Insurance (for you and your family) Flexible Spending Accounts Health Reimbursement Account Employee Assistance Program Retirement Savings 401(k) Plan with Company Match Generous holiday and Paid Time Off Tuition Reimbursement Paid Parental Leave The base salary range for this position is $95,000 to $115,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates - both their capabilities and character - as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use. Essential Duties and Responsibilities Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS. Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback. Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service. Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads. Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment. Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams' provision, deploy, and operate services without handholding. Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform. Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization. Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding. Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability. Work normal day business hours in the Eastern US time zone Education, Experience, and Competencies BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience. 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone. Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout. Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience. Experience with GitHub and GitHub actions. Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate. Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role. Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three. Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry). Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners. Strong written communication and a bias toward documentation, runbooks, and clear interfaces. Proven analytical thinking and problem-solving skills. Excellent communication skills, both verbal and written. Bonus Qualifications Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure. Background in healthcare, PBM, pharmacy, or another regulated data environment. Kubernetes operator experience or comfort building custom controllers. FinOps experience, particularly attributing infrastructure spend to features, teams, or business units. Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis. Experience with Agile development methodologies, preferably both Scrum and Kanban. Experience with code scanning, security, and quality checks as part of the CICD. Salary Range: $190,000 - $235,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Job Description Job Description Principal Analog/Mixed Signal Engineer Company: Extropic Location: Boston, MA (hybrid, 3 days in office) Compensation: $200,000 - $325,000 + competitive equity Employment Type: Full-time Visa Sponsorship: Visa transfers and new sponsorship (H-1B, TN) About Extropic Extropic is building thermodynamic computing, a new compute paradigm that uses thermal noise in CMOS devices to perform probabilistic computation with radical power efficiency (potentially 10,000x savings over traditional approaches). Its founders, former Google Quantum Computing researchers, spent years fighting thermal noise before realizing they could harness it. Founded in 2022, Extropic has about 30 people, has taped out its third chip (Z1) and is defining the architecture for three more. It has raised a $14.1M seed. The Role Extropic is hiring a Principal Analog/Mixed Signal Engineer (6+ years) to lead the design of next-generation thermodynamic computing chips. This is a ground-floor chance to own major pieces of chip design, and potentially serve as design lead for one of three planned chips, at a company positioned to reshape AI acceleration and edge computing. What You Will Do Lead design of analog and mixed-signal blocks: ADCs, PLLs, bandgaps, regulators, high-speed SerDes, oscillators and dividers. Own large parts of chip architecture, potentially as design lead for an upcoming chip. Do hands-on layout and design verification (DRC, ERC, LVS). Work across IC, systems, physics and algorithms teams to turn probabilistic computing concepts into silicon. Test and validate fabricated chips in the lab with signal generators, spectrum analyzers and oscilloscopes. What You Bring 6+ years of analog/mixed-signal IC design Block design experience (ADCs, PLLs, SerDes, bandgaps, regulators) Hands-on layout and verification (DRC, ERC, LVS) in Cadence CMOS and FinFET process experience Lab bring-up and validation skills Ability to work hybrid 3 days a week in Boston Tech Stack CMOS, Cadence, FinFET, PLL, ADC, SerDes, Python, C

Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.

Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.

Job Description Job Description Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. What You'll Be Doing: Team Leadership & Management: Build, lead, and manage a high-performing team of full stack web engineers. Define team goals, priorities, and roadmap in alignment with company objectives. Provide technical guidance, mentorship, and career development opportunities to team members. Technical Strategy & Execution: Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets. Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market. Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company. Cross-functional Collaboration: Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. What We're Looking For: Experience: BS or MS in Computer Science or related field 8+ years of professional experience in building web applications 3+ years of experience in a technical lead or management role Extensive experience with building web applications for search and data curation needs. Extensive experience with API and query federation technologies such as GraphQL or AWS Athena. Technical Skills: Strong programming skills in Typescript and Python. Strong knowledge of modern frontend technologies such React. Strong knowledge of building REST and gRPC based services, ideally in Python. Prior experience with building web applications for engineering or machine learning needs Bonus Points (not required): Prior experience in autonomous vehicles (AV) is a plus. Prior experience with Bazel based build systems. Prior experience with developing frontend workflows using LLMs. 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 $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 Job Description About DeleteMe DeleteMe is the leader in proactive privacy protection. We help security teams reduce their human attack surface by continuously monitoring and removing exposed personal data (PII) from the open web - the very data threat actors use to launch social engineering, phishing, Gen-AI deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-paced, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 million opt-out removals, helping customers reduce risks associated with identity theft, spam, doxxing, and other cybersecurity threats. We deliver detailed privacy reports, continuous monitoring, and expert support to ensure ongoing protection. DeleteMe acts as a scalable, managed defense layer for your most vulnerable attack vector: your people. That's why 30% of the Fortune 100, top tech firms, major banks, federal agencies, and U.S. states rely on DeleteMe to protect their workforce. DeleteMe is led by a passionate and experienced team and driven by a powerful mission to empower consumers with privacy. Role Overview: We are seeking an experienced DevOps Team Lead to own the deployment, reliability, and operational excellence of our SaaS platform. Beyond core platform engineering, this role will play a key part in enabling AI experimentation across the company, providing the infrastructure, tooling, and operational support needed for teams to prototype, deploy, and scale AI-driven initiatives. Responsibilities: Platform Deployment & Reliability Own the deployment, availability, and performance of our SaaS platform on Google Cloud Platform (GCP) Design and maintain scalable, resilient infrastructure using OpenTofu (Terraform-compatible) as the standard for infrastructure-as-code Manage environment consistency across dev, staging, and production, ensuring repeatable and auditable infrastructure changes AI Experimentation Support Serve as the operational backbone for AI experimentation across the organization, enabling teams to move quickly and reliably Act as a key enabler of the company's broader AI transformation, ensuring infrastructure and tooling keeps pace with evolving needs Monitoring, Observability & Incident Response Own platform monitoring across GCP. Setting up dashboards, alerts, and logging pipelines to ensure full visibility into system health Lead incident response, triage, and post-mortems, driving systemic improvements over time Define and track SLOs/SLAs for platform reliability Experience 5+ years in a DevOps or Site Reliability Engineering role Hands-on experience with Google Cloud Platform (GCP) Proficiency with OpenTofu or Terraform Familiarity with AI/ML workflows and supporting experimentation in a fast-moving environment Proven track record of leading complex technical projects and teams, demonstrating a high degree of autonomy. Strong ability to leverage AI-powered development environments to increase engineering velocity and efficiency. What We Offer Benefits and eligibility may vary based on role, location, employment status, and other factors. Comprehensive health benefits - Medical, Vision, Dental 401k retirement plan Paid Parental Leave 20 days of Paid Time Off 11 Company-Paid Holidays Birthday Off Work From Home Stipend Cell Phone Reimbursement Fitness Membership Reimbursement Child Care Reimbursement DeleteMe Gold Membership Discounted DM Plans for Friends and Family The pay range listed reflects our good-faith estimated base salary, depending on experience, skills, and geographic location. This role may also be eligible for additional compensation, including bonus, where applicable. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.

Job Description Job Description Cognitec develops market-leading face recognition technologies and applications for enterprise and government customers around the world. Our products are deployed in identity verification, law enforcement and video surveillance situations globally: across on-premise, cloud and mobile environments. Position is based in Rockland, MA Reports To: Vice President Americas Cognitec Systems Corporation owned by SALTO Group is a wholly-owned subsidiary of Cognitec Systems GmbH, headquartered in Dresden, Germany, providing sales and support services to customers in the Americas, North and South region. The Technical Specialist provides technical support to systems integrators; value added resellers (VARs) and end-customers for solution architecture, integration, installation, configuration, and ongoing usage of Cognitec products. In addition, they support pre-sales pipeline building, including Proof of Concepts (PoC's). The ideal candidate possesses considerable hands-on experience with solution architecture, computer hardware, infrastructure, networking and OS administration, in differing environments, over a period of at least 3 years. Direct face-to- face customer interaction experience is required along with exposure to some pre-sales/sales participation. Leadership attributes and Qualifications Must have : Integrity, Delegation. Communication. Self-Awareness. Gratitude. Learning Agility. Influence. Empathy Key areas of responsibility Ability to analyze customer requirements and propose well-designed technical solutions Test, evaluate and report on existing and new products and product releases Conduct comprehensive technical training for internal and external customers Install managed service solutions and maintain them remotely Troubleshoot and remedy applications and system issues remotely or on premises Provide internal support for demonstrations and tradeshows Provide product license fulfillment and product activation support. Desired skills and experience Substantial experience with software installation and configuration, computer hardware, networking and OS administration (Windows 10, Windows Server, and Linux) required Experience setting up PoC's and production solutions, in lab and end-customer environments Direct face-to-face customer interaction experience is required Pre-sales/sales participation exposure required Working knowledge of database management systems (MS SQL Server, PostgreSQL, Oracle) a plus Knowledge of C, C++, .NET or Java a plus Experience with Python programming a plus Familiarity with optical science, video and still camera equipment, and image processing a plus Strong technical writing and presentation/platform skills Excellent oral and written communication skills Exercised interpersonal and relationship management skills Must be self-motivated with a willingness to learn new technologies, and the wherewithal to successfully deploy them Demonstrated project management and organizational skills a plus Bachelor's Degree in Information Technology or related equivalent experience Travel Travel to customer sites and/or Trade Shows throughout the region is required as well as occasional travel to head office in Germany. We offer Intriguing technical challenges such as face recognition technology An experienced and highly motivated team State of the art innovation Salary commensurate with experience and performance Competitive Benefits package including medical, 401K, Paid Time Off and Professional Development support We are an equal opportunity employer committed to diversity in the workplace. Interested and qualified applicants can apply by e-mailing PDF versions of a cover letter, résumé and salary requirements to: E-mail: Quote reference: job title and place of publication

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Harvard University, Wayfair, Salesforce, or Wellington Management among other leading organizations in the Greater Boston area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Financial Operations - Project Management - Network Security & Support - Customer Success Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Harvard University, Wayfair, Salesforce, or Wellington Management among other leading organizations in the Greater Boston area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Financial Operations - Project Management - Network Security & Support - Customer Success Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.