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Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: As a Lead Machine Learning Engineer in our Luxury Travel organization, you will architect the intelligent systems that power Capital One Travel's vision for the high-end market. You'll have the unique opportunity to transform complex data into bespoke, anticipatory experiences for our most discerning travelers. If you are a visionary technologist who thrives at the intersection of cutting-edge AI and human-centric design, and you're driven to redefine the gold standard of travel through innovation, this is the perfect role for you. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications * Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI * Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionIndustry leader? Well, how about an industry creator?! At WalkMe, now an SAP company, we’re not just the leader in digital adoption, we started the digital adoption revolution - enabling organizations to pinpoint and resolve digital friction, regain control of their tech stack, and be better equipped to manage future change. With over 1,600 clients, including 55 Fortune 100 companies and 6 Fortune 10 companies working with us daily, we’re transforming how enterprises interact with their technology. So, if you’re an expert in your field, and looking for an opportunity to work, collaborate, and innovate with some of the most talented people out there, WalkMe is the place for you! We are seeking a Customer Success Engineering (CSE) Manager to lead, grow, and enable a high-performing CSE organization. This leader will oversee delivery execution, customer outcomes, capacity planning, and operational excellence — while driving adoption, value realization, retention, and strategic impact across enterprise accounts. The CSE Manager will set the bar for solution advising excellence, evolving a proactive methodology where engineers leverage insights, anticipate risks, reduce escalations, and accelerate customer success. This role blends people leadership, delivery oversight, enablement strategy, and cross-functional partnership.What You'll OwnTeam & People Leadership • Manage, mentor, and develop a team of CSEs — improving technical depth, advising skills, and business understanding., • Build a culture of proactivity, ownership, continuous improvement, outcome focus, and customer value creation., • Ensure CSEs demonstrate core IC competencies: solution advising, implementation, enablement, reporting/AI insight usage, and proactive risk identification., • Run structured coaching, 1:1s, shadow programs, learning paths, and development planning., • Lead hiring, capability leveling, career pathing, and talent calibration., • Drive the hiring and development of a new CSE team in 2026 — building foundational capabilities, onboarding structure, and the operating rhythm for a growing organization.Delivery & Execution Management, • Oversee customer engagements focused on configuration, implementation, enablement, optimization, and ongoing impact delivery., • Maintain visibility into assignment timelines, capacity, blockers, and outcomes., • Ensure best practices in solution design, build, rollout, testing, and production readiness., • Validate that CSEs understand customer business cases and translate them into high-impact WalkMe solutions., • Engage directly with customers — particularly for critical, strategic, or high-risk engagements — to ensure the right plan, approach, and solution has been delivered., • Guide CSEs in delivering workshops, training sessions, office hours, and ongoing learning programs that accelerate adoption and maturity.Customer Value, Adoption & Retention, • Drive CSAT, feature utilization, time-to-value, expansion influence, and renewal outcomes., • Ensure the team monitors usage signals, reports, workflows, and AI insights to identify risks early., • Support escalations for complex or strategic accounts while coaching IC ownership and self-resolution., • Promote a value-focused advising approach rather than task-focused execution.Operational Excellence & Methodology Ownership, • Build and scale playbooks, documentation, frameworks, and delivery patterns for repeatable success., • Reinforce proactive work methodology — structured communication, early risk flagging, mitigation planning., • Optimize tooling, reporting, assignment intake, forecasting, and utilization workflows., • Collaborate with CSM, TAs, Sales, Support, and Product to strengthen cross-functional alignment and execution., • Translate field learnings into product feedback, feature requests, and usability improvement recommendations.Enablement & Scaling Content, • Create and expand knowledge assets: guides, workflows, documentation, best-practice standards., • Support customer and internal enablement programs such as training, workshops, and learning series., • Define skill frameworks, expectations, and development tracks for CSE professional growth.What You Need to SucceedQualifications, • 5+ years in customer-facing technical roles (CSE, Solutions Engineer, Technical Advisor, PS/Enablement roles, etc.), • 2+ years of people management or leadership experience preferred., • Strong technical understanding of SaaS/web technologies (HTML/CSS/JS), integrations, and data workflows., • Ability to understand business needs and translate them into effective WalkMe solutions., • Skilled in report interpretation and AI insight usage to drive decisions and actions., • Excellent communication and stakeholder management across business and technical teams., • Strong organizational skills with ability to manage multiple workstreams and priorities., • Passion for coaching talent, improving operational maturity, and driving measurable outcomes.Nice to Have, • Experience with WalkMe or digital adoption platforms., • Familiarity with SAP, enterprise integration patterns, IDP/SSO configuration, extensions/snippet deployment., • Background in customer enablement, advisory programs, or technical training., • Experience scaling self-serve maturity and knowledge resources.Success in the role, • CSE team delivers consistently and with high quality across strategic work., • Customer adoption grows through proactive insights, advising maturity, and business alignment., • Escalations decrease as risks are identified and mitigated early., • Playbooks, documentation, and repeatable delivery assets reduce variability and accelerate execution., • CSEs operate with proactive rhythm — leveraging data/AI signals to drive outcomes rather than respond to issues.

About Prismera Prismera builds AI for commercial real estate portfolio operations. Our platform ingests unstructured portfolio documents and turns them into structured intelligence that powers how institutional owners and operators manage portfolios worth billions. We handle everything from document understanding and data extraction to agentic portfolio workflows and deal execution. We are backed by industry-leading executives, trusted by publicly traded REITs and national operators, and scaling into the largest institutional CRE firms in the world. The Role This is a founding design engineering role. You will own how Prismera looks, feels, and works: the interface design, the interaction patterns, the frontend implementation, and the systems that tie it all together. The core problem is this: commercial real estate portfolio operations are enormously complex. Hundreds of workflows, thousands of documents, multiple user types ranging from a 25-year-old analyst to a 60-year-old portfolio manager who has been doing this for decades. The instinct most platforms have is to solve complexity with more surface area. More tabs, more pages, more menus. That is not what we are building. You will figure out how to collapse that complexity into something so simple it feels obvious, without losing any of the power underneath. You will write production code. You will ship what you design. You will build relationships with customers across our client base and use those relationships to inform every decision you make about the product. If you think of yourself as someone who hands off Figma files, this is not the right fit. What You'll Do • Own the end-to-end design and frontend implementation of Prismera's product. You design it, you build it, you ship it., • Define the UX patterns for agentic AI workflows: how users interact with AI that acts autonomously on their behalf, how they build trust in its outputs, how they intervene when they need to. This is a new design space with very few established patterns., • Solve the information density problem: enterprise CRE users need access to massive amounts of data without being buried in it. You will design interfaces that surface the right information at the right time and hide everything else., • Build a design system and component library that scales as the product grows, without accumulating technical debt along the way., • Build and maintain direct relationships with an array of enterprise customers. You will be on calls, in Slack channels, and in their workflows regularly. What you learn from those relationships is what drives product decisions. Who You Are • 1-3 years of experience as a design engineer, product designer who codes, or frontend engineer with strong design instincts. What matters is the quality of what you've shipped, not the title you held., • You can go from concept to production code. You are fluent in React and modern frontend tooling, and you write clean, maintainable code., • You think about design in terms of user psychology, not just aesthetics. You care about button radius, but you care more about whether the person using the interface actually understands what is happening and what to do next., • You have strong opinions on simplicity. You believe the hardest design problem is figuring out what to leave out., • You are comfortable designing for users with wildly different levels of technical sophistication using the same product., • Experience designing for AI-native or agentic products is a major plus. If you've thought seriously about how humans should interact with autonomous AI systems, we want to hear about it., • You move fast, ship constantly, and refine based on real usage., • You want to be close to customers. You see direct client relationships not as a distraction from design work, but as the most important input to it., • Bonus: experience with enterprise SaaS, financial services, or complex data-heavy applications. Why Now We have enterprise customers, real revenue, and a product in a market where the incumbent software is decades old and was never designed for what AI makes possible. You would be joining at the earliest stage with the most leverage: not to maintain what exists, but to build what comes next.

AWS Senior Platform Engineer New York City, New York Job Description: We are looking for a Senior Platform Engineer to design, build, and operate scalable secure and highly available cloud platforms on AWS This role focuses on Kubernetes based platforms infrastructure as code cloud networking and shared platform services that enable application and AI teams to ship faster and more reliably You will work closely with application AI and security teams to provide a robust platform foundation while driving best practices around automation scalability and operational excellence Key Responsibilities: • Design build and operate production grade Kubernetes platforms on Amazon EKS, • Implement and manage event driven autoscaling using KEDA, • Develop and maintain infrastructure as code using Terraform, • Build and manage Helm charts for platform and application deployments, • Design and operate AWS networking components including VPCs load balancers routing and security groups, • Manage EC2-based workloads and integrations alongside Kubernetes platforms, • Implement and operate secrets management solutions HashiCorp Vault or equivalentDesign and support caching layers using Redis class technologies, • Partner with security SRE and application teams to ensure reliability scalability and security, • Experience using Python to build automation, platform tooling or operational workflows, • Troubleshoot complex infrastructure and platform issues across environments Qualifications • Strong hands on experience with Kubernetes on AWS EKS in production environments, • Proven experience implementing autoscaling solutions including KEDA, • Solid expertise in Terraform for infrastructure provisioning and lifecycle management, • Experience building and maintaining Helm charts, • Deep understanding of AWS infrastructure including VPC design and networking, • Load balancers ALB NLB, • Hands on experience with secrets management using HashiCorp Vault or similar tools, • Experience designing and operating distributed caching systems Redis or Redis compatible technologies, • Strong troubleshooting skills across cloud networking and Kubernetes layers Qualifications • Experience with OpenShift self managed or managed offerings, • Hands on experience configuring and managing BlueCat DNS, • Familiarity with enterprise networking and DNS architectures

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions * Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. * Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. * Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. * Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. * Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. * Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. * You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. * You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. * You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. * Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. * High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. * Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. * Experience with voice AI, speech-to-text, NLP, or conversational AI systems. * Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. * Previous experience embedded within a large enterprise customer’s product deployment. * Medical, dental, vision benefits * Annual wellness stipend * Mental health support * Life, STD, LTD Income Insurance Plans * Unlimited PTO * Generous paid parental leave * Flexible schedule * 12 Paid US company holidays * Quarterly personal productivity stipend * One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs * Learning / Education stipend * Participation in talks and conferences * Employee Resource Groups * AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud ___! More about our team and company: • Fleetio overview video: ___, • Our careers page: ___ Fleetio is seeking a Staff Software Engineer to be the founding engineer on our new Leverage team. The Leverage team's mandate is to make every person at Fleetio more productive by building the knowledge infrastructure that connects our internal data to the AI tools employees already use every day. At other companies, this work falls under "productivity engineering" or "internal tools." We call it Leverage because the scope is broader: serve the entire company, not just engineering. This is not a blank slate. Fleetio engineers are already using AI tools daily, and an organic ecosystem of shared skills and integrations has emerged across the engineering org. You will build on that momentum, not start from zero. Your job is to add the enterprise capabilities this ecosystem needs to scale: identity and auth, structured access to internal data, governance, and quality standards. You will design and build the context layer that connects Fleetio's distributed knowledge to the AI tools our team already uses. You will work directly with the Leverage team lead, and together you will define the technical direction for everything this team builds. This is a remote opportunity open to candidates in the United States, Canada, or Mexico. • Watch our culture videos: ___, • Engineering culture, interview process, and videos: ___, • Fleetio Go overview video: ___, • More about the Fleetio platform: ___, • API docs: ___, • Test drive Fleetio to get an even better feel for what we're building: ___ This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico. You are a staff-level, systems-minded engineer who gets energy from building tools that make other people more effective. You have deep experience integrating across SaaS APIs and are comfortable navigating the messiness of inconsistent auth models, pagination, rate limits, and data formats. You would rather build one system that enables 50 integrations than build 50 one-off integrations. You are comfortable operating in ambiguous, cross-functional spaces. You talk to users before you write code. You care about adoption, not just shipping, and you understand that internal tools fail when they have bad UX or no adoption strategy. You bring strong opinions about developer productivity, loosely held, and you communicate clearly with both engineers and non-technical stakeholders. You are product-minded and team-oriented, willing to hear others' perspectives and educate on best practices. Excellent communication skills, particularly written, are essential. • Design and build the knowledge infrastructure that gives AI tools at Fleetio structured access to company context. The form this takes (an API layer, a CLI, an SDK, agent configuration, protocol servers, or something new) is a decision you will help make., • Build integrations that connect Fleetio's internal knowledge sources (project management, documentation, code, data warehouses, communication tools) into a consistent, secure context layer with identity passthrough., • Design the system so other teams can extend it. Whether that means spoke templates, plugin architectures, or shared configuration patterns, the goal is to scale beyond what a small team can maintain directly., • Partner with teams across Fleetio to identify where missing context creates the most friction, and build the integrations that close those gaps. This is not engineering-only: Product Managers need AI tools that understand product strategy and customer data; designers need access to design systems and user research; Customer Success needs account history and help center content., • Take ownership of CI/CD intelligence, making pipelines fast, reliable, and trustworthy as AI-accelerated development increases code velocity., • Define and own the measurement framework for AI adoption and internal tool impact across the company. Track what works, surface what doesn't., • Champion AI-first documentation practices: structure internal docs so AI tools can consume them effectively (coding examples, machine-parseable formats, clear interface descriptions)., • Collaborate closely with the Platform/SRE team (they own infrastructure; we build the tooling and knowledge layer on top) and with Product Managers, Designers, and Engineers across the organization., • Produce well-tested, maintainable, and performant code. Thoroughly review your peers' code to ensure quality, maintain consistency, and share knowledge., • Contribute enterprise-grade capabilities to Fleetio's existing internal AI tooling ecosystem: identity and auth for protected systems, governed data access, cross-system queries, and quality patterns that help the ecosystem scale., • Establish the technical standards for the Leverage team. As the founding engineer, your decisions on architecture, tooling, and code quality will set the bar for everyone who follows., • 5+ years of professional experience building production software, • Strong integration engineering skills: comfort working across dozens of APIs, authentication schemes (OAuth, API keys, SAML, service accounts), data formats, and rate limits, • Experience with protocol-based architectures (MCP, LSP, or similar), SDKs, CLI tooling, or developer platform design. You understand how to expose structured data to client tools in a way that scales., • Full-stack capabilities: you will build backend services, CLI tools, and internal UIs, • Experience with identity and access management (Okta, SSO, or similar) and understanding of how to pass user identity through to downstream systems, • Experience building and consuming APIs and working with external integrations, • Solid experience solving challenging architecture problems with good design, • Experience with unit testing frameworks and CI/CD pipelines, • Excellent communication skills, particularly written, • Be sure to mention "coffee" in your application so we know you actually read this, • Comfort working in a Rails shop, • Experience building internal tools, developer platforms, or developer experience tooling, • Track record integrating across multiple SaaS APIs, with firsthand knowledge of inconsistent auth, pagination, and rate limiting, • Experience on a small team (2-5 people) where you owned significant portions of the product, • Hands-on experience with AI coding tools (Copilot, Codex) and an understanding of what makes them effective vs. ineffective, • Experience at a company that invests seriously in internal tooling (Stripe, Shopify, Block, etc.), • Familiarity with workflow automation platforms (n8n, Zapier, Workato, or similar), • Experience contributing to or maintaining shared developer tooling ecosystems (internal package registries, shared libraries, plugin systems), • Familiarity with AI agent skill/tool architectures (Codex skills, MCP tools, function calling patterns), • Experience with Snowflake, PostgreSQL, or similar data platforms, • You know a thing or two about the fleet management industry, • Multiple health/dental coverage options (100% coverage for employee, 50% for family), • Vision insurance, • Incentive stock options, • 401(k) match of 4%, • PTO - 4 weeks (increases at year two!), • 12 company holidays + 2 floating holidays, • Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid), • FSA & HSA options, • Short and long term disability (short term 100% paid), • Community service funds, • Professional development funds, • Wellbeing fund - $150 quarterly, • Business expense stipend - $125 quarterly, • Mac laptop + new hire equipment stipend, • Fully stocked kitchen with tons of drinks & snacks (BHM only), • Remote working friendly since 2012 #LI-REMOTE Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

Remesh - San Francisco, New York City or Remote (must be in the United States) Full-time 10 to 50 employees · Internet Originally posted March 05, 2026; this is a 100% remote, full-time role Remesh Operates on a 4 Day Work Week (4DWW) About Us! Remesh was founded in 2014, with a mission to build a platform that can help people truly understand each other — whether that's consumers, employees, or constituents. To date, we have raised over $65 million to execute this mission. We are excited to be disrupting the $70+ billion insights industry. Remesh allows you to have a live conversation with your audience at scale, using AI to analyze and organize their responses in real-time. Through this process, our customers are able to quickly draw out actionable insights as they engage hundreds of participants simultaneously. As a result, customers are able to gain fast, frequent, and efficient insights and make decisions with confidence. About the Role As a Software Engineer at Remesh, you will be scaling a revolutionary means of communication and helping to change the way we understand people. You will build, maintain, and test new and existing features using modern AI-assisted development workflows. You will be working with a cross-functional team of product managers and engineers (also at times, our Go-to-market teams) to improve existing features, build new ones, and scale our platform to serve more users and use-cases. We are transitioning to an AI-first development workflow, leveraging tools like Claude Code, Cursor, and similar AI coding assistants to accelerate development and improve code quality. The successful candidate will be comfortable working alongside AI tools, have experience with or enthusiasm for AI-assisted development, but absolutely needs to possess strong critical thinking, problem-solving, and reasoning skills. • Writing, maintaining, and testing code, • Leveraging LLMs and AI coding assistants to accelerate development velocity while maintaining high code quality standards, • Identifying and resolving issues, bugs, and requests efficiently with AI-augmented debugging and analysis, • Collaborating with product managers and designers to build engaging features for our users, • Collaborating with your team to design, develop, and maintain scalable, robust, and efficient software solutions which will leverage 3rd party APIs (e.g. LLMs) into our product to provide our customers with new and exciting features, • Building and integrating AI agents and agentic workflows into our platform and development processes, • Supporting our internal teams with engineering expertise, • Collaborating with other engineers to improve our codebase and the architecture and systems supporting it, • Contributing to and refining our AI-first development practices and tooling, • Working with other engineers to build complex features, • 3-5 years of professional software development experience, • 3+ years of proficiency in JavaScript or TypeScript, • 2+ years of proficiency in one of the following: Python, Ruby, Java, Go, or Rust, • Experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar), • Ability to effectively prompt and collaborate with LLMs to accelerate development, • 2+ years of experience with common web technologies, frameworks, and paradigms, • 2+ years of experience applying fundamental software engineering concepts, conventions, and best practices, • 2+ years of experience with unit tests and testing best practices, • Strong critical thinking skills to evaluate and refine AI-generated code, • Experience developing on one of the following cloud platforms: Google Cloud Platform, AWS, Azure, • 5+ years of professional software development experience, • Experience building, deploying, or integrating AI agents and agentic systems, • Experience with Python and Django, • Experience with Kubernetes and Docker, • Experience with React, • Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases, • Four Day Work Week (4DWW), • Sabbatical Leave Available, • Medical/dental/vision coverage, • Work from anywhere in the US!, • Remesh Equity, • 401k Retirement Plan, • $500 one-time use work from home allowance (WFH), • $150 monthly stipend WFH stipend, • 28 days of PTO annually, • $150K USD to $170K USD

We are looking for a hands-on Lead CloudOps Engineer to oversee the reliability, scalability, automation, and day-to-day operations of our GCP-based cloud platform. You will drive infrastructure automation, improve developer workflows, enhance observability, and ensure secure, stable platform operations. While GCP is the primary environment, the role includes operational responsibility for an existing AWS enterprise environment, requiring the ability to troubleshoot issues, maintain existing systems, and support partner teams without owning major AWS architectural redesigns. This position is ideal for someone who thrives in cloud-native environments, enjoys automation, and balances engineering rigor with operational excellence. This is a founding member of the CloudOps team in the US and has a potential to grow into future leadership and management positions. • Lead day-to-day monitoring and management of GCP infrastructure, focusing on reliability, uptime, security, performance, and compliance, • Manage GKE clusters, including cluster lifecycle, node pools, workload deployment, and operational best practices., • Implement and maintain GCP networking: VPCs, firewall rules, service networking, and private connectivity., • Support data and application teams using GCP services such as BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Run., • Own and maintain Terraform configurations for GCP and AWS using reusable modules, remote state, policy checks, and automation pipelines., • Automate environment provisioning, scaling, and configuration with CI/CD tools such as Cloud Build, GitHub Actions, ArgoCD, or Jenkins., • Build tooling and workflows that improve developer productivity (automated builds, deployments, secrets management, ephemeral environments)., • Build and enhance observability stacks using Cloud Monitoring, Prometheus/Grafana, ELK/Elastic, or OpenTelemetry., • Lead incident response, troubleshooting, RCA generation, and post-incident improvement efforts., • Define and manage SLOs, error budgets, and operational runbooks., • Ensure secure configurations across cloud services, Kubernetes workloads, secrets storage, and network boundaries., • Implement guardrails and compliance automation using IAM best practices, GCP Organization Policies, and Terraform checks., • Work with security and compliance teams to meet HIPAA, HITRUST, SOC 2, or internal audit requirements., • Maintain stability of a pre-existing AWS environment by performing tasks such as:, • Reviewing IAM roles and security posture, • Supporting workloads on EC2, ECS, EKS, RDS, S3, • Troubleshooting infrastructure or networking issues, • Managing configurations, upgrades, and patching, • Assist teams that rely on AWS-hosted systems and ensure smooth integration with GCP-centric operations., • Make small-to-medium improvements or automation updates for AWS infrastructure using Terraform or CI/CD workflows., • Mentor DevOps, CloudOps, and Platform Engineers through pair programming, reviews, and best-practice sharing., • Partner with development, data, and security teams to build highly reliable, cloud-native applications and pipelines., • Establish operational standards, documentation, and playbooks for cloud operations., • 8+ years of DevOps, CloudOps, or platform engineering experience., • Deep hands-on experience with GCP, including:, • GKE, workload identity, cluster networking, • VPC design, firewalls, load balancers, • BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, • Cloud Run, Cloud Functions, • IAM, KMS, Secret Manager, • Strong expertise with Terraform, including modules, workspaces, and governance patterns., • Strong CI/CD experience with Git-based workflows and pipeline automation., • Solid understanding of Linux, networking basics, containerization, and distributed systems., • Experience supporting production workloads in a regulated environment (HIPAA, HITRUST, SOC 2 or similar)., • Practical experience supporting AWS operations (not architecture-heavy), including:, • EC2, EKS, and ALB/NLB, • S3, RDS, CloudWatch, • IAM troubleshooting, • Network troubleshooting (VPC, Security Groups, Route 53), • Comfortable maintaining and improving existing AWS infrastructure., • Experience with GitOps tools (ArgoCD, Flux)., • Familiarity with service mesh (Istio, Anthos) or advanced networking., • Experience with policy-as-code (OPA/Gatekeeper or Sentinel)., • Background with FinOps/cost optimization., • Experience building internal developer platforms or platform engineering teams., • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Why Join Us? Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: • Competitive salary and benefits package., • Flexible working arrangements (remote or hybrid options available)., • The opportunity to work on life-changing AI technology that directly impacts patient outcomes., • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity., • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Mission Summary: We are seeking a capable and highly motivated Senior Engineer for our Developer Platform - Engineering Enablement (EE) team to enable teams to work more effectively by partnering with them to improve tooling and processes. You will join a talented team of engineers and collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission. This position may work remotely from anywhere in the United States, or out of our Boston, MA or Pittsburgh, PA office (hybrid). What will you be doing? • Develop and maintain tools and systems that optimizes the development lifecycle, including CI/CD pipelines, build systems, toolchains and code quality tools., • Develop and maintain automation, services and bots to reduce developer toil., • Develop pipelines to capture metrics that track Motional’s developer experience., • Work closely with engineering teams around the world (Singapore, US) to understand their needs, identify pain-points and drive initiatives to improve their development workflows., • Collaborate closely with the Engineering Enablement team members to ensure that team-owned platforms, tools and processes adequately meet the demands of engineering teams across Motional. What we hope you’ll bring: • BS in Computer Science, Engineering, or equivalent knowledge and work experience., • 5+ years of experience in DevProd or related roles., • Strong background in Modern C++ (C++17 and beyond) and Python., • Proficient with Bazel, build tools, debugging tools, toolchains and hermetic build environments., • Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins)., • Experience with software engineering principles including requirements gathering, software design, source control management, build processes, code reviews, testing methods., • Experience with Linux environments, software, and toolchains., • Strong communication and interpersonal skills., • Exceptional problem solving skills., • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities. Bonus points for experience with: • Experience in the AV industry or robotics., • Experience with cloud platforms (e.g. AWS, GCP)., • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)., • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Cloudwatch, Datadog)., • Experience with software development tools and services (e.g. Artifactory, Vault, Sonarqube). 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$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 ___, ___, ___ and ___. 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.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create an end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, caregivers, home care provider agencies, and payers. We’re looking for a Full Stack Engineer who’s eager to grow fast, think big, and build products that make a difference, improving the experience of thousands of caregivers and families. You’ll work across the full stack — from intuitive frontends to scalable backend services — diving into technologies like Go, Angular, PostgreSQL, Redis, SQS, Kubernetes, and GenAI tooling. This role is a launchpad for thoughtful, driven builders who thrive on solving complex challenges alongside a talented team of experienced engineers. If you're early in your career and driven to excel, this is your chance to ship code that changes lives, grow under inspiring mentors, and contribute to healthcare innovation. You must value a ‘startup-like’ culture on a small but mighty team that unlocks rapid iteration cycles through a quick but thoughtful decision-making process. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Build the Foundation for Scalability: Contribute to the design, implementation, and maintenance of APIs and microservices that enable robust functionality and seamless integrations., • Excel in Full Stack Development: Gain hands-on expertise in frontend with Angular and backend with Go, while optimizing cloud infrastructure for efficient scaling., • Integrate Gen AI Innovations: Incorporate generative AI into our agency management software, boosting usability and efficiency to create intuitive experiences that users love., • Push the Envelope: Encourage exploration of new technologies, tools, and approaches to continually enhance our platform for better user outcomes., • Guide Strategic Decisions: Evaluate priorities, options, and tradeoffs to inform key development choices that advance our goals., • Collaborate with a Passionate Team of Peers: Work closely with product managers, designers, and stakeholders to gather requirements, align on objectives, and deliver features that exceed expectations., • Ensure Lasting Quality: Develop and maintain comprehensive unit and integration tests to uphold high standards of software reliability., • Love a challenge and want to learn fast by doing important work., • Want to be mentored by lead engineers who care about your growth., • Are excited to touch every layer of the stack and see how software and infrastructure fit together end-to-end., • Believe that technology can and should make healthcare better., • Have a bias toward ownership, creativity, and seeing results., • Thrive in a fast-paced, collaborative environment where no two days are quite the same., • Want the energy of a startup with the stability of a proven company., • Other duties as assigned by supervisor or HHAeXchange leader., • Travel 5-10%, including overnight travel, domestic & abroad (US and other delivery locations), • 0-4 years of experience in software engineering roles building on modern architectures and frameworks, • Proficiency in one reactive JavaScript framework, such as Angular, React, or Vue, • Experience with backend-development, such as Go, NodeJS, or Python, • Experience in PostgreSQL/MongoDB, • Familiarity with continuous integration/continuous deployment (CI/CD) pipelines and tools, • Excellent written, verbal, and interpersonal communication skills, • Strong analytical and problem-solving skills, • Flexible, team player, • Ability to organize and plan work independently, • Ability to work in a rapidly changing environment, • Knowledge of JIRA/Confluence is a plus, • Healthcare experience and familiarity with HL7 and FHIR interoperability standards is a plus, • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role The base salary range for this US-based, full-time, and exempt position is $80,000-120,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values. This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs. HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law. 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.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create an end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, caregivers, home care provider agencies, and payers. We're seeking an experienced Lead Engineer to drive the technology vision and development of our next-generation home care agency and caregiver platform. This role is a great fit for someone who wants to make a difference for tens of thousands of caregivers and families, working alongside a passionate and focused team. You’ll work across the full stack — from intuitive frontends to scalable backend services — diving into technologies like Go, PostgreSQL, Redis, SQS, Kubernetes, and GenAI tooling. You must value a ‘startup-like’ culture on a small but mighty team that unlocks rapid iteration cycles through a quick but thoughtful decision-making process. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Lead the technology vision and development of core components of Pavillio, our next-generation home care agency management and caregiver platform, • Independently drive design and development of new features and services across our frontend (Angular) and backend (Go) stack, support robust, scalable functionality, • Optimize system performance, identifying and remediating bottlenecks, • Promote a culture of experimentation and innovation by encouraging the exploration of new technologies, tools, and methodologies that can improve the platform for our users, • Mentor a team of software engineers, fostering a culture of collaboration, accountability, and technical excellence, • Help determine priorities, options, and tradeoffs across key decisions and approaches, • Collaborate closely with product managers, designers, and other stakeholders to understand software requirements and define goals, • Conduct code reviews, providing feedback to improve team efficiency and maintain quality coding standards, • Write and maintain unit and integration tests to ensure consistent software quality, • Enhance and maintain the CI/CD pipeline to automate builds and streamline deployments, • Monitor and optimize both front-end and back-end performance to ensure efficiency and scalability, • You enjoy tackling and solving complex problems, • You’re intellectually curious, a life-long learner who is willing to explore and discover new knowledge domains across frontend, backend, architecture, cloud, and DevOps to help drive optimal platform development decisions, • You feel passionate about making healthcare better for people, • You love being in the code, and may also see yourself growing as a leader and building out a team over time, • You have an ‘ownership’ mentality and take pride in your work, • You’re comfortable with ambiguity and being part of a dynamic team that learns and improves every day, • You’re seeking a ‘startup-like’ environment at a more established company, • Other duties as assigned by supervisor or HHAeXchange leader., • Travel 5-10%, including overnight travel, domestic & abroad (US and other delivery locations), • 8+ years of experience in software engineering roles building on modern architectures and frameworks, • Deep experience in backend-development, specifically technologies such as GO, PostgreSQL, Redis, SQS, leading observability tools, • Depth in with continuous integration/continuous deployment (CI/CD) pipelines and tools, • Significant experience architecting, building and delivering complex, high-performance SaaS solutions deployed in cloud environments (AWS or similar) using microservices and serverless architectures, • Excellent written, verbal, and interpersonal communication skills, • Strong analytical and problem-solving skills, • Flexible, team player, • Ability to organize and plan work independently, • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role The base salary range for this US-based, full-time, and exempt position is $165,000-175,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values. This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs. HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law. 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.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions * Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. * Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. * Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. * Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. * Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. * Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. * You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. * You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. * You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. * Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. * High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. * Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. * Experience with voice AI, speech-to-text, NLP, or conversational AI systems. * Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. * Previous experience embedded within a large enterprise customer’s product deployment. * Medical, dental, vision benefits * Annual wellness stipend * Mental health support * Life, STD, LTD Income Insurance Plans * Unlimited PTO * Generous paid parental leave * Flexible schedule * 12 Paid US company holidays * Quarterly personal productivity stipend * One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs * Learning / Education stipend * Participation in talks and conferences * Employee Resource Groups * AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

This role is focused on helping Seeq’s global Technical Support organization scale its effectiveness, efficiency, and quality. You will build AI agents, workflows, and process automations that help make our world-class support team even more capable as we continue to grow our customer and user base. We are looking for an exceptional engineer who understands customer support operations, processes, and data and can a) build AI-powered systems to improve support workflows end to end, and b) create actionable insights and recommendations that drive improvements. You will work at the intersection of technical support, workflow automation, applied AI, analytics, and operational design to streamline how support work is routed, investigated, escalated, synthesized, and improved, with the direct goal of improving customer experience and satisfaction. You will build operations intelligence workflows that help Seeq’s Technical Support team act earlier, faster, and with better judgment. You will work closely with Technical Support Engineers, Support leadership, Product, Engineering, and Customer Success to understand how support works across regions, time zones, and escalation paths, then turn those insights into systems that improve the operation. This role is heavily focused on agentic AI engineering. You will design and implement workflows that reduce manual effort, improve consistency, and accelerate high-value support work across ticket triage, routing, knowledge retrieval, escalation preparation, case summarization, data gathering, and root-cause-oriented investigation. Examples of systems you may build or extend include: • AI-assisted ticket triage and routing, • case summarization and escalation preparation tools, • knowledge retrieval workflows for support engineers You will translate operational data into actionable intelligence, including support tickets, product usage context, case metadata, response patterns, escalation signals, and internal knowledge sources, delivering the right insights to the right people at the right time. You know how to apply modern AI and software tooling with rigor and judgment. You can identify where agentic systems genuinely improve throughput and quality, where deterministic automation is better, and how to combine the two safely in production support workflows. You will also help shape how Seeq operates in an AI-assisted world by creating systems, prompts, tooling, documentation, and conventions that make support workflows easier to execute correctly and easier to improve over time. You are an exceptional engineer with strong systems thinking, operational judgment, and a bias toward practical automation that delivers measurable impact. You have experience building internal tools, workflow automation, operational analytics, or AI-powered systems in environments where accuracy, responsiveness, and user trust matter. You think deeply about human workflows. You know that good operations intelligence starts with understanding how people triage, investigate, escalate, communicate, and make decisions under pressure. You build systems that support better judgment rather than create more noise. You are highly effective in Python and comfortable working across APIs, data pipelines, workflow systems, and applied AI tooling. You can move fluidly between automation, analytics, orchestration, data modeling, and product-quality internal tooling. You are thoughtful about operational quality. You care about clarity, observability, maintainability, and appropriate safeguards when introducing AI into support processes. You are strong in written communication. You can create documentation, playbooks, prompts, and operating conventions that help other teams adopt what you build and use it well. You bring strong ownership and agency. You analyze trends, identify friction, quantify opportunity, make sound tradeoffs, and carry improvements through to production and operational adoption. You are motivated by helping customer-facing teams succeed. You care about improving the speed, consistency, and quality of support as a direct lever on customer experience. • Have at least 3 years of professional experience in software development, workflow automation, applied AI, analytics engineering, support tooling, or related technical work, • Have experience working with modern AI tooling, including LLMs, agentic workflows, prompt design, evaluation, and human-in-the-loop operational systems, • Proficient in Python, APIs, and software development frameworks used to automate and operationalize complex workflows, • Demonstrate experience building production-grade internal tools and AI-powered systems that are used by teams to improve speed, quality, and consistency, • Show a strong understanding of technical support operations, ticketing and case management systems, escalation workflows, or other service operations environments, • Be highly effective at translating messy operational processes and data into scalable systems, actionable intelligence, and measurable improvements, • Show excellent problem-solving and analytical skills, with great attention to detail, • Demonstrate excellent communication and collaboration skills, and the ability to work effectively in a cross-functional team environment Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments. We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability. We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work. The Perks of Working at Seeq • Competitive salary plus bonus incentives, • $125,000 - 170,000 USD. Salary will be determined by the level you are hired at., • Benefits:, • 12-week paid Seeq family leave, • Unlimited PTO, • Internet and mobile phone reimbursements, • Medical benefits, • Group term life insurance, • Short-term and long-term disability insurance pre-tax benefits, • Voluntary vision and dental (ortho), • Vacation bonus program, • Employee Assistance Program, • Generous home office allowance, • The best co-workers (we've analyzed the data, so we know it's true.), • Pet-friendly workspace (your dog will be so happy to have you home) You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas

To apply, please send the following to • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • The base salary range for this role is $130,000 – $150,000. Compensation also includes eligibility for a discretionary annual bonus and a competitive benefits package, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

The Director of Engineering provides strategic and operational leadership for all engineering functions at a high-volume precision metal stamping manufacturer serving the automotive, electronics, and medical device industries. This executive-level role is responsible for driving product and process innovation, ensuring compliance with industry-specific quality and regulatory requirements, and developing a high-performing engineering team. The Director partners closely with Sales, Quality, Operations, and executive leadership to deliver competitive, manufacturable solutions that exceed customer expectations. KEY RESPONSIBILITIES Strategic Leadership & Business Development • Define and execute the engineering roadmap aligned with company growth objectives across automotive, electronics, and medical device markets., • Serve as the primary engineering liaison for key customer accounts during quoting, design, and program launch phases., • Evaluate and recommend capital equipment investments (progressive dies, transfer presses, automation) to expand manufacturing capabilities., • Oversee tooling design and die engineering for progressive, compound, and transfer dies used in high-precision stamped metal components., • Lead Design for Manufacturability (DFM) reviews and tolerance stack-up analyses for new part programs., • Drive Advanced Product Quality Planning (APQP) and Production Part Approval Process (PPAP) submissions for automotive customers (IATF 16949)., • Ensure engineering compliance with ISO 13485 design controls for medical device component programs., • Recruit, mentor, and manage a team of tool designers, process engineers, and manufacturing engineers., • Establish individual development plans, performance goals, and career advancement pathways., • Ensure all engineering activities comply with IATF 16949 (automotive), ISO 9001 (general), and ISO 13485 (medical device) quality management systems., • Lead root-cause analysis and corrective action (8D, CAPA) for engineering-related customer escapes., • Maintain complete and audit-ready DHF (Design History Files) and technical documentation for regulated industries., • Manage engineering project portfolios from concept through production launch, meeting cost, timing, and quality targets., • Coordinate new model introductions (NMI) and engineering change management (ECN) across internal and customer systems., • Support Operations with press setup optimization, tooling maintenance programs, and troubleshooting of high-volume production issues., • Oversee supplier tooling builds and subcontracted engineering services; conduct supplier technical reviews and audits. REQUIRED QUALIFICATIONS • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or closely related field (Master's preferred)., • 10+ years of progressive engineering experience in precision metal stamping, sheet metal fabrication, or closely related metal forming disciplines., • 5+ years of direct people management experience, including hiring and developing engineering staff., • Demonstrated experience supporting at least two of three target industries: automotive, electronics, or medical devices., • Deep proficiency in progressive and/or transfer die design, tooling materials, and press mechanics., • Working knowledge of APQP, PPAP, FMEA, control plans, and GD&T (ASME Y14.5)., • Familiarity with IATF 16949 or ISO 13485 quality management requirements., • Proficiency with CAD software (SolidWorks, AutoCAD, or equivalent) and CAM/simulation tools., • Strong project management skills with experience managing multiple concurrent programs. PREFERRED QUALIFICATIONS • Professional Engineer (PE) license or Six Sigma Black Belt / Green Belt certification., • Experience with automation integration (robotic part handling, vision systems, in-die sensing)., • Knowledge of surface finishing, plating specifications, and secondary operations common in electronics and medical components., • Familiarity with ERP/MRP systems (SAP, Epicor, or similar) in a job-shop or high-volume stamping environment., • Experience with Design of Experiments (DOE) and statistical process control (SPC). CORE COMPETENCIES • Technical Expertise in Metal Forming, • Cross-Functional Collaboration, • Customer Relationship Management, • Data-Driven Decision Making, • Strategic Thinking & Innovation, • Talent Development & Coaching, • Regulatory & Quality Mindset, • Change Management WORK ENVIRONMENT & PHYSICAL REQUIREMENTS This position operates in both an office/engineering environment and on the manufacturing floor. The Director is expected to spend regular time on the production floor engaging with press operators, toolmakers, and quality personnel. Ability to walk production areas, stand for extended periods, and observe precision stamping operations is required. Occasional lifting up to 30 lbs. PPE (safety glasses, hearing protection, steel-toed footwear) required in production areas.

Backend Engineer (AI Focus) – New York My client is a well funded early stage startup building a high scale social platform from the ground up. They are focused on building persistent, high performance systems capable of supporting massive real time traffic. Engineers joining my client will have the opportunity to work on a greenfield platform at scale, join a focused and highly capable team, and take ownership of critical backend systems from day one. The environment is fast paced and highly collaborative, with a strong emphasis on building systems that enable AI-driven product experiences, supported by long term financial stability. The Role My client is looking for a Backend Engineer with strong experience in distributed systems and an interest in AI-powered products. You will play a key role in designing and building the core infrastructure that powers real-time, intelligent user experiences at scale. Key Responsibilities • Design, build, and deploy backend services using TypeScript and NestJS with a focus on performance, scalability, and maintainability, • Architect and implement high traffic APIs, authentication systems, and distributed services enabling real-time and AI-enhanced product features, • Model and optimize data systems across relational databases, caches, and event streaming platforms to support both operational workloads and AI-driven insights, • Build resilient, event-driven systems using pub sub patterns and long-lived connections that handle large scale concurrent usage, • Work closely with AWS infrastructure to improve deployment pipelines, scalability, and overall system reliability, • Support backend systems that enable AI and machine learning workflows, including data pipelines and real-time inference services, • Collaborate with a small, high-performing engineering team to make strong technical decisions and execute quickly with high ownership Technical Requirements • Strong expertise in TypeScript, Node.js, and NestJS, with the ability to design and build production grade backend systems, • Proven experience implementing secure authentication systems using OAuth, FIDO2 or WebAuthn, and JWT, • Hands on experience working with Prisma ORM, PostgreSQL or Aurora, Redis, and DynamoDB across high-scale environments, • Experience with analytics or high performance data stores such as ClickHouse is beneficial but not required, • Strong understanding of distributed systems, including event driven architecture, pub sub patterns, and message brokers such as Kafka or AWS MSK, • Experience building real time systems, • Deep familiarity with AWS and cloud infrastructure, including services such as Aurora Global Database, RDS Proxy, ElastiCache or Valkey, EKS, and Terraform, • Experience working with observability tooling such as LGTM stack and implementing modern CI/ CD pipelines, • Proven track record of building external facing systems where performance, concurrency, and reliability are critical

We’re looking for a Junior–Mid Cybersecurity Engineer who is hands‑on with security operations and excited to improve our defenses across cloud, endpoints, identity, and collaboration tooling. An interview with Cybersecurity team member to assess general fit and engineering experience. Discuss

We're looking for a GTM Engineer to be the technical backbone of our marketing and revenue operations. You'll build automations that route Sumble's own signal data into outbound sequences, creative dashboards to create tooling for other GTM teams, build reporting dashboards. You follow the modern GT

Pinterest’s Security team is seeking an experienced Security Software Engineer to help keep our 619 million monthly active users safe from real-world threats. You will build tooling, product enhancements, and work with teams to improve our overall security posture and enhance our secure developmen

Job Description: Job title: Software Engineer Duration: 12 months (possibility of extension) Location: Hybrid (Newark, NJ) Summary • Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments, • Develop high quality, well documented and efficient code adhering to all applicable Prudential standards, • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact, • Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems, • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day, • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables., • Use programming languages including but not limited to Python, Java, or JavaScript and React, Springboot, frameworks The Skills & Expertise You Bring • Bachelor of Computer Science or Engineering or experience in related fields, • 6+ years of hands-on experience building enterprise-grade applications using modern Java and JavaScript ecosystems, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: • Programming Languages: Python, Java, Java Script; Typescript, C#, working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring, Maven, Microservices, multi-threading, Concurrency and parallel processing, • Frameworks: React, Springboot, Flask, Django, Node.js (Run time), • Data Store: NoSQL or Relational Data structures - PL/SQ, DB2, Oracle, Postgres, RedShift, • Data Streaming: SQS, Kinesis, AWS MSK, Event Bridge, • Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SOAP, XML, JDBC, MySQL, • API Management & Integration : Kong, Apigee, • Unit, interface and end user testing concepts and tooling (functional & non-functional), • Automated testing, • Accessibility awareness, • Software security skills including secure coding, web application security and DevSecOps; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0), • Dev Ops Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins, • Software Development Life Cycle (SDLC): Monitoring and logging techniques, • AWS Core Services across compute, storage, DB, IAM and analytics incl specific services listed above, • Preferred Qualifications:, • Strong experience with Domain Driven Development (DDD), • AWS cloud native solution development, • Architecture Patterns, • Design and critical Thinking, • Financial/Insurance industry experience is a must, not a plus, • Experience with agentic frameworks and AI driven development tools is a Must. [Claude Code, GitHub Copilot etc]

Role: Senior Software Engineer Duration: 6+ months (Temp to Perm Hire) Location: Newark, NJ - Hybrid (3 days onsite per week) About the Opportunity: Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role: As a Senior Software Engineer on the Group Insurance team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to improve and enhance our Onboarding Platform. You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. What You Can Expect on a Typical Day: • Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; actively code against the roadmap, • Develop high quality, well documented and efficient code adhering to all applicable client's standards., • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact., • Write unit, integration tests and functional automation; research problems discovered by quality assurance or product support, developing solutions to address the problems., • Bring an applied understanding of relevant and emerging technologies, identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day., • Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors., • Bachelor of Computer Science or Engineering or experience in related fields., • Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts, tools and processes needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Programming Languages: Python, Java or JavaScript; distributed systems, object oriented programming, design patterns and design methodology; Java services using Spring CLI, Maven, Microservices, multi-threading, concurrency and parallel processing, • Frameworks: React, Spring Boot, Node.js (Full / MEAN / MERN stack), • Data Store: NoSQL or Relational Data structures; MongoDB; BPM tools, • Data Streaming: SQS, Kinesis, • APIs: Consumption & Development; implementing service oriented architecture (SOA) patterns; REST, JSON, SOAP, XML, JDBC, MySQL, • Testing: Unit, interface and end user testing concepts and tooling (functional & non-functional); automated testing, • Accessibility: Accessibility awareness and compliance, • Security: Secure coding, web application security and DevSecOps; authentication, authorization, encryption, digital signatures, JWT, SSL, web service proxies, firewalls, SAML 2.0, OpenID Connect, OAuth2.0, • DevOps Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins, • SDLC: Monitoring and logging techniques, • AWS Development, • Architecture Patterns, • Design Thinking, • Financial / Insurance industry knowledge is a plus, not a must

Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 34,000 mental healthcare providers across all 50 states who run their practice on our software. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide. The engineering team at Headway is a small but mighty team using technology to build that future (and have a fun time while doing it!). • Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapists to better solve the problems they’re facing., • Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration, • Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind., • Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes., • Languages: Python 3, TypeScript, • Libraries: FastAPI, SQLAlchemy, React, • Datastores: Postgres, Redis, • Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, • Monitoring: Datadog, PagerDuty, • Version control: Github There is a lot that we're building at Headway, but here are a few projects to give you an idea of the problems we're tackling. • Grow our network of therapists: Investing in ways to help therapists find and sign up for Headway including referral programs, SEO optimization, and more, • Therapist onboarding: Building products and tooling to make it easy to get credentialed as in network with insurance companies in record time, • Therapist practice management system: Building a best-in-class platform for Headway therapists to manage their patients, appointments, payments, and more., • Patient search and matching: Transforming the therapist search experience and becoming the trusted guide for patients to find the right therapist. We’re looking for experienced engineers who have the ability to deal with ambiguity and learn new technologies and systems. Below are some additional experiences we think help engineers succeed at Headway. • You have experience working across the stack on modern web applications, • Strong understanding of at least one programming language and comfortability with others, • Shaped work to achieve company and team goals, • Flexed into new technical and non-technical areas as projects require, • Committed team member supporting the growth of those around them, • Designed software architecture at the systems-level, • Led shaping of technical requirements, roadmaps, and strategy, • Led and mentored teams of engineers, • Evaluated new technologies and build vs. buy decisions, • Recruited, interviewed, and on-boarded engineers After you apply to Headway, here are some details of what to expect during the interview process. Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. First round: You'll meet with an engineer on the team to do some live coding and learn more about the engineering team. Second round: You'll meet with an engineering manager to discuss your previous experience and cover technical and non technical points. Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway. References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members! Compensation and Benefits: Salary information is based on a single salary target per role: • The starting salary for entry-level career engineers is $140,000 and increases to $170,000 and $200,000 based on industry tenure and experience. Benefits offered include: • Equity Compensation, • Medical, Dental, and Vision coverage, • HSA / FSA, • 401K, • Work-from-Home Stipend, • Therapy Reimbursement, • 16-week parental leave for eligible employees, • Carrot Fertility annual reimbursement and membership, • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st, • Flexible PTO, • Employee Assistance Program (EAP), • Training and professional development #LI-BM1 We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please contact ___ Headway employees work remotely across the US, with the option to work from offices in New York City and San Francisco. Headway participates in E-Verify. To learn more, click ___

Join us to Improve Health Equity for 5 Million People! With 20 million patients reached since 2013, CareMessage is the only patient engagement solution proven to improve health equity at scale. The team, many with lived experiences in these communities, leverages a nonprofit model to reinvest revenue into impact. CareMessage is the partner of choice for organizations committed to advancing health equity. Who We're Looking ForWe are looking to hire a Software Engineer II, Integrations (L2) who will deliver scoped integration work that connects external systems to our platform in a reliable, maintainable, and secure way. You will work hands-on building and maintaining API-to-API integrations, direct database connections (Epic Kit and Caboodle, Clarity, etc.), and FHIR and HL7-based workflows with leading EHRs. This is an execution-focused role where you will be productive independently on defined tasks while collaborating closely with senior engineers for design guidance, prioritization, and escalation.This is a highly cross-functional role. You'll work closely with Product, Customer Success, and Engineering to understand integration requirements and implementation details, with customer interaction as needed and typically in partnership with senior engineers. You will report to the Director of Engineering and play a key role in expanding our integration capabilities as we scale. Who You AreYou are an accomplished engineer who thrives in dynamic, fully distributed environments. You bring a strong foundation in software engineering fundamentals and take pride in developing high-quality integrations that are secure, reliable, and maintainable. You are energized by the challenge of connecting complex healthcare systems and translating technical requirements into working solutions.You are curious, detail-oriented, and highly proactive. You are comfortable navigating EHR integration nuances, understanding data models, and working across API protocols to deliver work that meets both technical standards and customer needs. You thrive when collaborating across teams and take a partnership-first approach, leaning on senior engineers for guidance while driving your own work forward with increasing independence.You're excited about operating in a mission-driven, fast-moving environment and have a passion for leveraging your technical skills to develop new solutions for our customers. Most importantly, you share our commitment to advancing health equity for low-income populations and take pride in contributing to that mission through the integrations you build. • Minimum 3 years of hands-on software engineering experience with JavaScript and one other programming language, • Minimum 3 years experience building, maintaining, and scaling backend systems, APIs, and services, • Solid fundamentals of computer programming, including a good understanding of software development lifecycle, coding best practices, design patterns, object-oriented architecture, etc., • A commitment to supporting and fostering diversity and inclusion (We have a global team and you will regularly collaborate with people from a variety of walks of life.), • This role requires the candidate to reside within the United States of America, • Demonstrate autonomy by independently executing defined work, taking ownership of longer term initiatives, and consistently following through on commitments., • Growth-oriented mindset, • Outstanding written and verbal communication skills, especially in a fully remote environment, • Excellent ability to collaborate with technical and non-technical partners to support discovery, development, and testing phases of integration projects, • Experience working in teams where automated tests are an expected part of development, including writing and maintaining tests alongside production code, • Strong experience working remotely, • 3 years experience of developing healthcare integrations leveraging common interoperability standards (FHIR and HL7), • Experience working with mainstream EHR vendors such as Epic, eClinicalWorks, AthenaHealth, NextGen, etc., • Experience with our tech stack: JavaScript/TypeScript, Ruby on Rails, Postgres, Google Cloud Platform, • Experience with Mirth and/or Rhapsody Integration Engine (we use Rhapsody), • Experience working closely with data teams, leveraging healthcare data and foundational data science concepts, • Developing a growing understanding of our company objectives and technical strategy, you will work with the integrations team to deliver effective solutions for safety-net healthcare providers, • You will communicate with customers, partners, and other external technical resources to understand the integration requirements and implementation details of those workflows and design effective solutions, • You will help design, build, and maintain integrations in Rhapsody following engineering best practices, • Working with other team members you will contribute to the development and evolution of scalable healthcare integration architecture, • You will provide technical training and documentation for integrations you develop to assure capabilities for support teams to monitor and troubleshoot integrations, and you will assist in measuring impact of live integrations, • You will work closely with Product teams to understand requirements and contribute technical input during solution definition, including participation in Product Requirements Documents (PRDs) when appropriate, • You will help improve the team over time through essential team rituals, such as Kickoffs, Retrospectives, and Technical Debt Reviews, • You will contribute to the team by participating in On-Call (PagerDuty) activities, • Have a working familiarity with CareMessage’s features and the API, • Understand the Rhapsody Development Environment and our Software Development Lifecycle, • Learn and follow CareMessage’s integration engineering standards, coding best practices and development processes, • Establish rapport with engineers on the team through Wiki contributions, 1:1 conversations, and Team Rituals, • Be self-sufficient in completing assigned tasks and have delivered integration work with meaningful impact, • Gain a strong understanding of our technical environment and identify areas for growth in our processes, systems and tooling, • Understand our Company Objectives and Key Results and be able to articulate how Integrations directly impact them, • Be noted as a valuable technical resource by your peers and manager having developed strong trust and rapport with them, • Have ownership of assigned portions of multiple integration projects from implementation through production support, with guidance from senior engineers

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. About the team & opportunity This role focuses on building and running high-impact experiments that improve how users discover, adopt, and pay for Calendly within our Growth organization. You’ll work across the stack, partner closely with product and analysts, and ship changes that are measured in real business outcomes. This is not a traditional feature team role. The work is fast-moving, iterative, and data-driven. You’ll regularly balance speed, quality, and long-term maintainability while operating in an environment with incomplete information. What we value on Growth • Ownership and follow-through; You care about results and learning, not just delivery, • Sound judgment paired with a bias toward action, • Technical leadership that raises the bar for the team, • Curiosity, humility, and openness to diverse perspectives A day in the life of a Senior Full Stack Engineer at Calendly • Design, build, and ship full-stack growth experiments end-to-end, • Improve key metrics across acquisition, activation, engagement, and monetization, • Collaborate daily with product managers, designers, and analysts, • Analyze experiment results and iterate quickly based on data, • Contribute to our experimentation platform and growth infrastructure, • Make thoughtful engineering tradeoffs in pursuit of impact On a typical week, you might: • Build and ship an experiment that impacts a core funnel step, • Partner with product, design, and analysts to refine a hypothesis or flow, • Review experiment results and decide what to iterate, keep, or remove, • Improve or extend internal tooling that supports experimentation, • Review code, mentor teammates, and participate in team ceremonies What do we need from you? • 5+ years of professional software experience, with much of that working on user growth (acquisition, activation, retention) or monetization, • Strong, hands-on full-stack engineering skills, with the ability to independently design, build, and ship production changes across frontend and backend systems, • Demonstrated experience running product experiments end-to-end, • A data-driven approach to problem solving, • The judgment to balance speed and quality in a growth environment, • Comfort operating in ambiguous problem spaces where the path forward is not fully defined and success is measured by outcomes, not effort, • A collaborative working style and the ability to partner deeply with product, design, and analytics to drive results, • A collaborative mindset and a willingness to give and receive feedback, • Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time. Strong candidates might: • Arrive with clear points of view on what experiments to run, why they matter, and how to evaluate their impact, • Be able to quickly dive into data to uncover growth or monetization opportunities, • Demonstrate ownership beyond implementation, from hypothesis formulation through post-launch analysis and follow-ups, • Have experience scaling growth systems or experimentation platforms in a production environment Our stack You don’t need experience with everything below, but you should be excited to work across it: • Backend: Ruby on Rails, Grape, PostgreSQL, Redis, • Frontend: React, TypeScript, • Infrastructure: Google Cloud Platform, Kubernetes, Argo Workflows Tier 1 Salary Hiring Range $224,400 - $283,800 USD Tier 2 Salary Hiring Range $205,700 - $260,150 USD Tier 3 Salary Hiring Range $187,000 - $236,500 USD The ranges listed above are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits. Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: • Tier 1: San Francisco, CA, San Jose, CA, New York City, NY, • Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA., • Tier 3: All other locations not in Tier 1 or Tier 2 If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alabama, Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement___ Candidates residing in California may visit our Notice at Collection for California Candidates here:___ This role may require occasional travel for company events, team collaboration, or offsites.

Rockstar is recruiting for a fast-growing SaaS company that empowers creators, coaches, and online experts to build thriving online communities. Our client offers a plug-and-play platform that enables users to manage discussions, courses, payments, events, documents, workflows, matchmaking, directories, and more—all on their own websites. The team is passionate about giving people the power to own and shape the way they engage with others online. The client is a plug-and-play online community builder. Think “Shopify for online communities”. The company is building a world where people have the power to own & shape the way they engage with others online. The platform allows creators, coaches, & online experts to build a thriving community business — with discussions, courses, payments, events, documents, workflows, matchmaking, directories & more — all on their own website. Why this job is special… • The successful candidate will be one of the first engineers to join the company—but will be joining a product & codebase that works. The company has hundreds of customers processing thousands of dollars every month. This role offers all the leverage and autonomy of being an early engineer without the burden of building everything from scratch., • The team consists of individuals who know their craft. Everyone is exceptionally skilled and brings deep experience from their previous roles., • Typescript is taken seriously. If a candidate is passionate about pragmatically applying type systems & functional patterns, this is the place for them., • AI agents are here & the company is ready to use them as a force-multiplier. Significant time has been spent building incredibly expressive & flexible application building blocks. AI will allow the team to double down on these through MCP and agentic configuration, providing the magic of tools like Replit & Lovable without the brittleness. What the role entails… • Working closely with the team to scope & prioritize new features, • Writing modular, maintainable, thoughtful code, • Creating rails to enable AI coding agents to robustly make changes & develop new features, • Monitoring the production environment and working with users to identify & resolve bugs Remote restrictions Workday must overlap by at least 5 hours with New York, NY, USA This role will be enjoyable for those who… • Appreciate working with Typescript, type systems & functional patterns, • Enjoy writing high-quality code within the constraints of a rapidly changing product, • Want to have a strong influence on the direction of the product, • Thrive working in an autonomous environment, • Like creating new abstractions (responsibly!), • Are not afraid to dive into unfamiliar technologies & platforms Some problems the team has worked on… • Improving the type safety of the codebase, • Efficiently matching community members via max weight matching & linear programming, • Abstracting the mobile app to allow for custom white-labeling Potential projects for this role… • Building the first version of the MCP server, • Reworking frontend infrastructure to enable communities to create SEO-indexable content, • Building a new community-centric voice & video call experience, • Optimizing API server infrastructure and database queries to accommodate usage growth, • Establishing an app ecosystem to allow external developers to build custom apps within the platform, • And much more! What the company is looking for… • A strong background working with Typescript or similar typed languages, • Experience with React or similar frontend component frameworks, • Experience scaling backend infrastructure & identifying performance bottlenecks, • Strong opinions about what well designed products feel like, • Intuition for balancing long-term engineering best practices and iterating quickly, • Empathy for users and the desire to carefully craft delightful user experiences, • A love for building & experimenting with products Bonus points for candidates who… • Have founded a company before, • Have experience with profiling & monitoring NodeJS in production, • Have experience building realtime applications Our Stack The company loves Typescript! The entire stack is type-safe from the initial database call to the last React prop. Developer experience is a priority, and the team is not afraid to spend time improving internal tooling if it will allow for faster and/or better shipping.

About Kustomer Kustomer is the industry leading conversational CRM platform perfecting every customer experience. Built with intelligent tools such as AI and Automation, no code-configuration and a connected data platform that unifies data from multiple sources through a single timeline, Kustomer empowers businesses to operate with greater efficiency and deliver more personalized service to customers across any channel, making every interaction more meaningful and memorable. Today, Kustomer is the core platform for some of the leading customer service brands like Sweetgreen, Starz, Vuori, Resy and Cotopaxi. Kustomer was founded in 2015 by serial entrepreneurs Brad Birnbaum and Jeremy Suriel and has raised over $230M in funding backed by leading VCs. Meta announced its intention to acquire Kustomer in 2020 and completed the transaction in 2022. Kustomer joined Meta’s Business Messaging Group to transform the way people and businesses communicate through modern messaging channels. In 2023, Kustomer spun out from Meta as a standalone company backed by original partners, Battery, Redpoint and Boldstart Ventures, who have invested $60M. In 2025, Kustomer announced a $30M Series B led by Norwest, with continued support from Battery, Redpoint, and boldstart. This milestone reflects strong conviction in our vision and fuels our next chapter of growth: expanding our AI-native platform, accelerating product innovation, and scaling our exceptional team. Our Krew is made up of passionate and collaborative people who really care about what they do and the people they help. We look for people who are passionate about enhancing the customer service experience for everyone involved, as it's the core of what we do. We're growing our business with no plans of slowing down. We actively seek individuals who want to learn and be challenged every day. We have also transitioned to a remote friendly company, with Krew members located throughout the U.S. and U.K. coming together for Kamp Kustomer each year. About the Role If you've ever thought "We could build much faster with AI" than this role is for you. You will lead the blueprint for AI driven development across our engineering organization, transforming our tooling so our engineers can ship high quality, reliable code faster than ever before. Kustomer has taken products like ___ from ideation to production in 3 months, rolled out AI-powered end to end testing across the company in just 3 weeks, and prototyped what is now ___ in a matter of hours. We move quickly without sacrificing trust or quality; using AI to validate, test, and scale what we build. This team exists to replicate that velocity across all of engineering with this new team. As the founding engineer on this team where you’ll define what great looks like, set the direction for the organization and build foundational tools that our engineers rely on. You’ll modernize how our engineers create systems, workflows and their tooling to help every engineer move faster and ship better. You'll be responsible for: * Design, build, and deploy AI agents and automation that accelerate every phase of the SDLC, from code generation and review through testing, deployment, and monitoring, making AI and agentic participants a core part of how software gets built at Kustomer. * Stay at the forefront of AI and automation tooling, rapidly evaluating and incorporating forward thinking solutions to continuously push quality, efficiency, reliability, and development velocity. * Partner with engineers across teams to identify friction, design solutions, and iterate quickly, championing best practices that drive real adoption of AI-powered tools across the engineering organization. Your qualifications: * Proven experience in a developer experience, developer tooling or platform engineering role * Experience evaluating, implementing and advocating for AI developer tools to solve complex engineering problems * 5+ years of full-stack programming background with the ability to design systems end-to-end with high-level programming languages like Go, Python, JavaScript, etc. * Ability to see the big picture across engineering and product to identify systemic inefficiencies * Experience with containers and deployment with ECS and Terraform is a big plus * Degree in Computer Science or a related disciplines HIPAA Compliance All roles at Kustomer may involve handling sensitive personal data. Benefits Kustomer offers an array of benefits including competitive salaries and stock options. In the U.S. we offer 100% healthcare coverage, 401K, WiFi and Mobile reimbursement, and a generous vacation policy; in the UK we also offer pension, supplemental health insurance and other perks. Diversity & Inclusion at Kustomer Kustomer is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together.We are proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status. Disclaimer: Kustomer only contacts candidates from company email addresses ending in kustomer.com and does not seek funds from candidates in any circumstances.

Proven experience in a developer experience, developer tooling or platform engineering role. Kustomer is hiring an impactful Developer Experience Engineer to join our Foundation team. In this role, you will improve developer experience across the engineering organization by identifying friction poin

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. Platform Engineering is a family of teams focused on creating and supporting the tools used by all Application and Service Developers at Stitch Fix. We focus on creating low friction tools and practices to maximize developer happiness. We believe happy developers write better code. We practice modern platform practices like Infrastructure-as-Code, Immutable Infrastructure, use of Containers, and leverage AWS as well as many other Cloud SaaS offerings. As a Platform Engineer, you will contribute to building and improving Stitch Fix’s cloud-native infrastructure and internal developer tooling. You’ll work on tools and automation that help product engineers deploy, operate, and debug services more easily, while learning modern platform engineering practices alongside experienced teammates. This role is ideal for engineers who enjoy improving developer experience and want to grow their skills in cloud infrastructure and CI/CD systems. • Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers, • Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity, • Collaborate with platform and application engineers to identify friction points and implement incremental improvements, • Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines, • Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows, • Have opportunities to propose ideas and improvements, with support and mentorship from the team, • Have 2+ years of software development and infrastructure experience with significant contributions, • Have experience with AWS or other cloud-based providers, • Have experience with container orchestration, CI/CD, or production observability (deep expertise not required), • Enjoy debugging systems, understanding how things work, and improving reliability over time, • Can break down problems and implement solutions with guidance, • Have strong developer empathy and care about improving the developer experience Things you'll get exposure to (and we don't expect experience with everything): • AWS, • Terraform, Pulumi, • CircleCI, • Docker, ECS, EKS, • Ruby, Golang, Python, • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix., • We cultivate a community of diverse perspectives— all voices are heard and valued., • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail., • We win as a team, commit to our work, and celebrate grit together because we value strong relationships., • We boldly create the future while keeping equity and sustainability at the center of all that we do., • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact., • We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary and benefits. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range $88,100 - $147,000 USD ___ leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ___

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and ___. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the team Airwallex's Database team sits within the Infrastructure division and is responsible for the reliability, performance, security, and automation of Airwallex's database infrastructure — primarily Postgres (Google CloudSQL), Redis (Google Memorystore), Clickhouse and many more. The team's mission is to make databases invisible: product engineers should be able to provision, scale, and operate databases safely without needing to become database experts themselves. Today the team has 4 engineers across Singapore and China. We are expanding to Seattle to build a truly global team and to tackle the next generation of database automation — including AI-powered database operations, self-service platforms, and unified observability. You will join a team that values engineering rigor, automation-first thinking, and a bias toward building tools over performing manual toil. What you'll do As a Senior/Staff Software Engineer on the Database SRE team, you will design and build the platforms, automation, and AI-driven tooling that power Airwallex's database infrastructure. This is not a traditional DBA role — you are an engineer who builds systems that automate database operations at scale. You'll work across Postgres (CloudSQL) and Redis (Memorystore) on GCP, tackling challenges at the intersection of database reliability engineering, platform automation, and AI. Your work will directly impact the availability, performance, and security of the data layer that underpins Airwallex's global payments platform. This role is based in Seattle. Responsibilities: * Build a unified database observability platform: Design and implement an "eagle-eye" view across all database instances, providing real-time visibility into availability, security posture, reliability metrics, and latency — enabling proactive issue detection before incidents occur. * Build MCP (Model Context Protocol) for safe AI agent access: Design and implement secure interfaces that allow AI agents to safely query and interact with production databases, enabling the next generation of AI-powered internal tooling while maintaining strict security and access control. * Build an Agentic AI DBA: Develop AI-powered automation that handles routine DBA tasks — performance tuning, capacity planning, schema review, incident triage, and remediation — reducing manual toil and enabling the team to scale operations without scaling headcount. * Build self-service database platform: Create tooling that enables product engineering teams to provision, configure, scale, and manage Postgres and Redis instances through self-service workflows, with built-in guardrails for security, compliance, and best practices. * Drive database reliability and operational excellence: Establish and enforce database best practices across the organization — connection pooling, query optimization, backup/restore strategies, failover procedures, and change management. Participate in on-call rotations for database incidents. * Collaborate with engineering teams: Partner with product engineers to diagnose database performance issues, review schema designs, and provide guidance on data modeling and access patterns for Postgres and Redis. Who you are We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory: * 5+ years of professional software engineering experience with strong proficiency in backend languages such as Python, Go, Java, or Kotlin. * Deep experience with PostgreSQL — performance tuning, query optimization, replication, backup/recovery, schema design, and operational best practices. * Experience with Redis — data modeling, clustering, persistence strategies, and operational management. * Infrastructure and cloud expertise: Hands-on experience with GCP (or equivalent cloud provider), infrastructure-as-code (Terraform), Kubernetes, and Docker. * Demonstrated track record of building automation, tooling, or platforms that replaced manual operational work — not just operating databases, but engineering solutions that make operations scalable. * Strong system design skills, with the ability to architect reliable, scalable infrastructure services. Preferred qualifications: * Experience with Google CloudSQL and/or Google Memorystore specifically. * Experience building internal developer platforms, database-as-a-service systems, or self-service infrastructure tooling. * Experience with AI/ML technologies, LLM integration, or building AI-powered automation — particularly applied to infrastructure or operations use cases. * Familiarity with MCP (Model Context Protocol) or similar patterns for safe programmatic access to production systems. * Experience with observability tools (Grafana, Prometheus, Datadog) and building monitoring/alerting systems for database infrastructure. * Experience in fintech, payments, or other regulated industries where data integrity, security, and compliance are critical. To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @___ email address. Please apply only through ___ or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year. * are obsessed with helping developers succeed * are known as the go-to person for solving tricky technical issues * work hard and can move fast without sacrificing quality * care deeply about polish, detail, and clear communication * are a fast learner, frequently picking up new tools, systems, and skills The best way to impress us is by showing how you help others unblock themselves—and maybe by tinkering with LiveKit along the way 😊 LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform. This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production. You’ll work alongside customers’ engineering teams to help them successfully deploy and scale applications built on LiveKit. That may include designing architectures, building integrations, debugging production issues, or developing reference implementations that demonstrate best practices. This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You’ll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform. Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit. * Work directly with customer engineering teams to design and implement real-time applications built on LiveKit. * Design scalable architectures for voice AI, real-time media, and developer platform use cases. * Build prototype integrations, reference implementations, and sample applications to accelerate customer development. * Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems. * Debug and troubleshoot complex technical issues in production environments. * Lead technical workshops and architecture sessions with developers and product teams. * Translate customer needs into technical insights that inform product and platform development. * Partner with Product and Engineering to improve developer experience, documentation, and tooling. * Contribute code, examples, or improvements to LiveKit’s open-source ecosystem when helpful. * Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit. * Strong engineering background with 5+ years of experience in backend or infrastructure engineering. * Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++. * Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure. * Experience building or integrating developer platforms or real-time systems. * Able to quickly understand complex systems and debug issues in real-world environments. * Strong communicator who can collaborate directly with customer engineering teams and internal product teams. * Comfortable operating in fast-paced, low-process environments where ownership and initiative matter. * Excited to work hands-on with customers solving complex technical implementation challenges. * Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure. * Familiarity with voice AI, conversational agents, or AI infrastructure. * Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer. * Experience contributing to open-source projects or developer ecosystems. * Previous experience building with or integrating LiveKit. * The opportunity to build technology powering the next generation of real-time and voice AI applications * Work alongside world-class engineers and open-source contributors * Competitive salary and equity package * Health, dental, and vision benefits * Flexible vacation policy

___ is transforming how companies discover, evaluate, and maximize the impact of events. Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions. Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships — where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights. In addition, Vendelux Meetings helps customers turn event insights into action — using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful. Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Shutterstock, Compass, Forter, Airbnb, and more. About the Role AI is no longer an engineering story at Vendelux. It's a company story. The way our sales team prospects, the way product researches, the way ops runs processes, the way data answers questions. All of it is changing fast. We're looking for a Staff AI Enablement Engineer to be the technical force behind that change. This role sits at the intersection of deep AI infrastructure and cross-functional impact. You'll build the MCP servers, agent pipelines, context frameworks, and orchestration layers that make AI genuinely useful across every team - not just for the engineers who've already figured it out on their own. The work is hands-on and technical. The impact is company-wide. If you're the person at your current company who got everyone on Claude Code, wired up MCP servers for internal tools, and is already running agents 24/7, you might be exactly who we're looking for. What You'll Do Build the shared AI infrastructure layer * Design, build, and maintain MCP servers that connect our internal systems like Github, Snowflake, Linear, Notion, Slack, and others, to agents running across every function * Establish and own our context engineering standards: ___ / ___ conventions, shared context/ directories, architecture docs that make our agents deeply aware of how Vendelux works * Build the memory and persistence layer for long-running agents: session continuity, proactive scheduling, cross-session context * Own orchestration infrastructure for multi-agent workflows: coordination, sub-agent spawning, token budgets, permission boundaries * Maintain codebase health as the system scales: shared component libraries, automated quality gates, fragmentation checks, doc validation in the PR pipeline Drive adoption across every function * Partner with sales, ops, product, marketing, legal, and data teams to identify where AI can fundamentally change how a team works and build the agents that make it happen * Get every team to their “aha” moment fast: preconfigured environments, pre-connected tools, skills they can run immediately without debugging * Build and grow a skills marketplace where anyone can package a workflow and share it company-wide so one person’s breakthrough becomes everyone’s superpower * Create visibility and healthy competition around AI usage: leaderboards, showcases, Slack channels, all-hands demos that make building contagious * Identify force multipliers on every team (the people who get it early) and give them the platform and resources to bring their teams along Build purpose-built agents for non-engineering teams * Each agent isn’t a chatbot. It’s a composition: the right MCP integrations, the right document access, the right memory system, the right workflows assembled into something that genuinely serves a function’s real work * Work closely with domain experts to turn institutional knowledge into something an agent can act on; the best agents are co-created, not handed down * Given Vendelux’s focus on event intelligence and pipeline, there’s particular leverage in agents that understand our data models, account scoring, and sales workflows Own the hard infrastructure problems * Manage the access vs. safety tension: permissions scoping, token budgets, rate limiting, observability dashboards — guardrails that enable rather than block * Maintain reliability across agent infrastructure as the system grows: graceful degradation, fallback models, cost tracking * Evaluate frontier models, new MCP tooling, emerging agent frameworks, and integrate what's worth integrating before competitors catch up What We're Looking For Technical depth is the baseline. The ability to move others up the proficiency curve is what makes you exceptional in this role. Required * Strong software engineering fundamentals. You're building real infrastructure that teams depend on, not configuring existing tools * Deep hands-on experience with frontier AI agents (Claude Code, Codex, or equivalent) and the context engineering that makes them actually useful in complex codebases * Practical, production experience building with LLM APIs: tool use, multi-turn state, system prompt architecture, structured outputs, multi-agent orchestration * Hands-on experience with MCP or similar integration frameworks. You've connected agents to real production systems, not just toy examples * Experience designing for non-technical users: the agent that works for a software engineer is not the same as the one that works for a sales rep or an ops manager * Comfort working cross-functionally. You'll spend as much time talking to a head of sales or a product lead as you will writing code Nice to Have * Background in platform engineering, developer tooling, or data engineering * Experience with proactive/scheduled agent systems (not just request-response) * Familiarity with vector stores, RAG pipelines, or knowledge graph approaches for agent context * Experience with CI/CD automation involving AI agents * Exposure to B2B SaaS data models, CRM/MAP integrations, or event/attendee data What “Staff” Means Here Staff isn't a senior role with a better title. It means: * You identify the highest-leverage problems across the company without being told what they are * You define the technical direction for AI infrastructure and hold the standard across teams * You operate with wide autonomy and are accountable for outcomes, not just execution * You bring other engineers along: mentoring, documenting, setting patterns others can follow Why This Role, Why Now The gap between AI-native teams and everyone else is widening fast. At Vendelux, we're at an inflection point: our data assets — event intelligence, attendee behavior, account signals — are exactly the kind of domain-specific context that makes AI agents genuinely powerful rather than generic. The AI Enablement Engineer's job is to make that advantage real across every team. To make intelligence self-service, the same way DevOps made infrastructure self-service. One afternoon of setup, connecting the right agent to the right data and deploying it where a team already works, creates a permanent productivity gain that compounds. We're looking for the person who already knows this and wants the scope to do it at scale. Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds. Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

MZLA Technologies Corporation (MZLA) is a wholly owned, for-profit subsidiary of the Mozilla Foundation and home to Thunderbird, our flagship open-source email and productivity platform empowering more than 20 million people around the world. While part of the Mozilla portfolio of companies, MZLA operates independently in both identity and organizational structure from the Mozilla Foundation and Mozilla Corporation. Everything we build at MZLA is open source, developed transparently and in collaboration with a global community of contributors. This open approach shapes not only our products but also how we work: collaboratively, inclusively, and with a shared commitment to building technology that puts users first. We believe privacy and productivity should coexist, and that people deserve powerful digital tools without surrendering control of their data. MZLA is a small but growing team of 50+ people distributed across seven countries. As we evolve Thunderbird from a single application into a suite of privacy-respecting productivity tools, we’re introducing new products and services that remain independent of big tech ecosystems. Our unique revenue model combines community donations that keep Thunderbird freely available with subscriptions for new cloud-based services, allowing us to grow and innovate while remaining independent and true to our values. To learn more, visit ___ The Opportunity: As a Staff Software Engineer, Front-End, you’ll serve as a domain expert who deeply understands the complexities of shaping seamless, user-focused interfaces and delivering high-quality front-end solutions that align with product strategy. You’ll join a team of talented front- and back-end engineers who bring deep expertise to the development and maintenance of our flagship desktop application, cherished by millions of users worldwide for over 20 years. You’ll work closely with engineers and cross-functional partners to tackle ambiguous problems in user experience, performance optimization, and architectural design. The ideal candidate has a strong focus on front-end architecture, user experience, and performance, and demonstrates technical leadership, sound judgment, and a collaborative approach to problem solving. You’ll play a vital part in translating strategy into action by influencing technical direction, mentoring engineers at multiple levels, and ensuring that technical decisions align with MZLA’s mission and the objectives of the Thunderbird Project, particularly in delivering exceptional user experiences. This is a full-time, remote position working with colleagues across multiple regions and time zones. What you’ll do: • Lead complex, ambiguous technical initiatives requiring cross-team and cross-organization coordination, • Own and deliver projects spanning new features, code quality improvements, tooling, and process optimization, • Partner with senior engineers and product managers to define and execute technical strategy, reduce technical debt, and improve long-term maintainability, • Collaborate closely with UX Engineers to ensure accessibility and usability are built in from the start (WCAG, ARIA), • Establish and promote scalable front-end architecture through shared frameworks and guidelines, • Write high-quality, testable, and maintainable code; contribute to code reviews, testing, regression triage, and patch integration, • Mentor and support engineers across the team, fostering a culture of learning and continuous improvement What you’ll bring: • 10+ years of experience in front-end software development, building scalable, maintainable, and user-focused systems., • Extensive knowledge of modern vanilla JavaScript concepts (module patterns, async and promises, custom elements and shadow DOM), and up to date knowledge with the most recent ECMAScript specification., • Strong command of modern JavaScript frameworks such as React, Vue, or similar, and experience transitioning legacy codebases to new technologies., • Deep knowledge of HTML5 structures and advanced accessibility patterns and Deep knowledge of modern CSS patterns and methods., • In-depth understanding of system architecture, design patterns, and software engineering best practices, with a focus on performance, scalability, and maintainability., • Proven ability to act as a technical lead and mentor, providing guidance on complex technical problems and supporting the growth of other engineers., • Experience developing and testing applications across multiple platforms (Windows, macOS, and Linux), with expertise in Git or Mercurial and modern version control workflows., • Excellent communication and documentation skills, a collaborative approach to cross-functional work,, • A strong commitment to continuous learning and improvement. Bonus points for: • Experience contributing to or leading open-source projects, • Experience with Python or other programming languages, • Ability to engage with and support a global community of developers, including managing feedback and fostering an inclusive and productive ecosystem, • Proficiency in French, German, Japanese, or another language in addition to English Work Environment: You’ll work with our passionate staff and open-source community members from all over the globe to support the mission and objectives of MZLA Technologies Corporation. This is a remote position. Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines. What you’ll get: We benchmark our base salaries to local markets and target the 60th percentile of the peer market. The salary ranges for this role are: • US: $150,000 - $175,000 USD We may consider candidates with strong skills but less than the required experience. Title, level and compensation will be determined based on qualifications and experience. In addition to competitive salaries, we offer a comprehensive benefits package designed to support your whole self, outlined below. Work & Career • Fully remote work & schedule flexibility, • Latest Laptop, • Discretionary Annual Bonus Program, • Monthly Remote Work Stipend, • Annual Professional Development Stipend, • Access to Udemy Learning Platform, • Industry Conferences, • Company All Hands Rest & Play • 24 days PTO per year (prorated), • Your Birthday, • Year-end Company Shutdown, • 9 Wellbeing Days, • Public Holidays, • Other Paid Leave, • Quarterly Wellbeing Stipend for Personal / Family Activities Health & Family • 401(k) Contributions, • Health, Dental, & Vision Insurance, • Disability Insurance, • Life Insurance, • Employee Assistance Program, • Paid Parental Leave, • Paid Sick Days Work Eligibility: Applicants must reside in and have permanent work authorization for the country location(s) specified in the posting. We are unable to consider applicants outside of these markets at this time. And, we do not provide visa sponsorship. How to Apply: Please apply directly through our ___. We carefully review every cover letter and screening question, so take the time to answer each fully. We also value authenticity. We want to hear your perspective, not a bot’s. It's fine to use AI to polish your writing, but not to write your answers. Candidates who submit unoriginal AI generated answers will be disqualified from further screening. MZLA Technologies Corporation (MZLA) Commitment to diversity, equity and inclusion MZLA believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at to request accommodation.

Wag! is looking for a software engineer to drive product development on the core web platforms for the Wag services marketplace. This role will work closely with product managers and designers at a fast pace to launch new products and optimize conversion rates. You’ll bring innovative ideas to the table on how to ship features faster and improve user experience on our platform. You’ll get to innovate, dog-food the product, and create impactful features for millions of users. What you need to get in the door • A strong send of urgency and ownership in your work, • Proven ability to scope, build, test, and deploy features from end to end, • A good eye for design detail, able to draft pixel perfect web interfaces, • Ability to implement slick animations and transitions in web apps, • A strong understanding of web front-end engineering principles, • A strong understanding of the network stack between the browser and backend API, • Ability to build and maintain CI pipelines, • Ability to debug and optimize page load performance, • Ability to own architectural and design decisions, • Ability to break down large projects into reasonable chunks with reliable estimates, • Be an engineer first; willing to dig deep and solve a problem regardless of your comfort level. Our Web Stack • NextJS with Typescript, • Containerized with Docker and hosted on AWS ECS, • Cloudflare CDN and WAF, • Gitlab CI/CD build and deploy pipelines, • Variety of AI-powered tooling for development and testing For US based candidates, the national base pay range for a successful candidate is listed below, • $130,000 to $180,000 About Wag! Group Co. Wag! Group Co. strives to be the number one platform to solve the service, product, and wellness needs of the modern U.S. pet household. Wag! pioneered on-demand dog walking in 2015 with the Wag! app, which offers access to 5-star dog walking, sitting, and one-on-one training from a community of over 500,000 Pet Caregivers nationwide. In addition, Wag! Group Co. operates Petted, one of the nation’s largest pet insurance comparison marketplaces; Dog Food Advisor, one of the most visited and trusted pet food review platforms; WoofWoofTV, a multi-media company bringing delightful pet content to over 18 million followers across social media; and maxbone, a digital platform for modern pet essentials. For more information, visit ___.

Robotics will have a massive positive impact on the world economy and global human productivity over the coming decade. At Foxglove, we're excited for this future, and we're building powerful open source and commercial tools to accelerate it. We're an experienced team of independent thinkers, with a passion for creating high quality products. We're looking for self-motivated and fast-learning individuals to join our mission. We are looking for an experienced and highly adaptable Forward-Deployed Engineer to join our team at Foxglove. This role is ideal for a product-minded full-stack engineer who thrives in customer-facing environments and enjoys solving complex technical challenges in robotics and observability. As a Forward-Deployed Engineer, you'll work directly with strategic customers to integrate and extend Foxglove's platform within their environments, while also contributing upstream to our core product. This position offers a unique mix of hands-on development, creative problem-solving, and close collaboration with customer teams. You'll act as a trusted engineering partner, ensuring Foxglove is seamlessly woven into customer workflows and identifying opportunities to drive improvements based on real-world use cases. We’re a small global company with team members primarily in the U.S. and Australia. We maintain Pacific Time hours and hire within ±4 hours of U.S. time zones to ensure effective collaboration. For this position, we're looking for someone located in Seattle. * Customer Collaboration – Embed deeply with customer teams to understand business goals, domain constraints, and technical requirements. * Design & Development – Architect and build end-to-end solutions with an experiment-driven, iterative approach (TypeScript/React, Node.js, Python, ROS, SQL). * Scoping & Planning – Draft clear scopes of work, timelines, and success metrics for proofs-of-concept through production roll-outs. * Hands-On Delivery – Code side-by-side with customer engineers, deploying on their cloud or on-prem environments to ensure successful adoption. * Cross-Functional Alignment – Partner closely with Sales and Customer Success on the same accounts to guarantee seamless experiences and measurable outcomes. * Product Feedback Loop – Relay frontline insights to Research, Product, and Engineering; your learnings shape our roadmap. * Internal Enablement – Document best practices, contribute to internal libraries, and mentor future FDEs so the function scales efficiently. * 5+ years of professional experience in JavaScript/TypeScript development. * 3+ years of professional experience in Robotics or Autonomous systems * Experience in customer-facing engineering roles, ideally with robotics or autonomy exposure. * Proven history of rapid prototyping and iterative delivery with external stakeholders. * Front-end strength in React/TypeScript and back-end experience in Node.js or Python; familiarity with C++ or ROS is a plus. * Solid grasp of network and cloud architecture (AWS, GCP, or Azure) and database-backed REST APIs. * Comfortable owning problems end-to-end, learning what’s missing, and communicating technical details to any audience. * Willingness to travel extensively and work on-site with customers when required. * Bonus points: * Experience with multiple database systems * Experience designing SDKs, integration libraries, or internal tooling that reduced services cycle time. * $300 monthly budget towards commuter benefits or building your personal workspace (remote only) * Competitive equity grant in a Series B company * Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents * 401k matching up to 4% * 4 weeks vacation, plus holidays and winter break * All expenses paid company off-sites 1-2× per year * Impact: Own growth at a fast-growing, high-leverage moment for the company. * Mission: Accelerate the development of the next generation of robotics and embodied AI. * Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools. * Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

Friendly Captcha offers bot protection which is privacy-friendly and does not require the user to perform tasks such as clicking images of cars, making it accessible to all humans. Bootstrapped Founded in 2020, Friendly Captcha is a fully bootstrapped, profitable, growing business. We are a mission-driven business first, and a fast-growth startup second. We don't have the distracting goal of pleasing investors. Vision A safe internet accessible for all humans. Human-first We aim for sustainability, with a healthy work-life balance. We design our company to be around in 5 years. • A place in a bootstrapped, mission-driven business that doesn't have the distracting goal of pleasing investors. We get to design the business how we want it to be., • A high-impact product that protects our customers’ internet presence, which is making the internet more human friendly. Together we have an impact we can be proud of., • A small and effective team looking to grow and make a big difference, by being focused. We rather aim for a smaller team that is great, than a bigger team that is good., • A place to grow personally and professionally. A solid understanding of Linux, networking, and security is required, and proficiency with shell scripting and one or more programming languages is highly preferred. Buzzwords aside, we highly value pragmatic, creative, and driven technology generalists, who know how to pick the right tool for the job. The engineering team is remote across Europe, consisting of 6 people. You can work remotely from anywhere, or you can work from our office near Munich. Freedom and Trust We aim for sustainability, with a healthy work-life balance. We believe that creative and talented individuals are self-organizing - you get the freedom to shape your work and time how you work best. Our stack Some key technologies in our stack are Linux, Go, Typescript, Postgres, Clickhouse, Redis, Terraform, Packer, and OpenTelemetry. We see engineering as a way to build a great product, not as a goal in itself. Unique for our company that we offer an entirely EU-owned stack (so no AWS here). This is a big selling point for governments and EU companies. Opportunity Roles grow and evolve, especially in young companies. We look for those who enjoy learning new things and are not afraid to take ownership as they grow with the company. Want to join Friendly Captcha? Please do reach out.You need to be domiciled in the EU, EEA, Switzerland or the UK to be considered for this role.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to ___. Job Title: Software Engineer Salary: $140K – $210K + Equity Company Description: Ambrook - Series A fintech building financial infrastructure for American agriculture Job Description: Join a mission-driven team rebuilding the financial backbone for farmers and ranchers. You will own full-stack features across a TypeScript, React, and React Native stack, replacing legacy paperwork with modern accounting and banking tools. This role offers the unique opportunity to shape product direction while solving complex technical challenges at the intersection of climate, industry, and the economy. Location: Remote, USA Why this role is remarkable: * High-impact mission helping family-run businesses become more resilient against climate change and market volatility while working with an AI-forward engineering culture. * Strong financial backing with $29M raised to date from top-tier investors including Thrive Capital, Homebrew, and Dylan Field (CEO of Figma). * Radical pay transparency and equity—Ambrook sets salary by level and location to ensure two people in the same role are always paid the same. What you will do: * Own the end-to-end delivery of elegant, performant product experiences and server infrastructure using Next.js, React, and React Native. * Join customer discovery calls to develop a deep intuition for the real-world financial challenges faced by agricultural producers and independent operators. * Influence technical architecture and development velocity by experimenting with the latest AI dev tooling and improving CI/CD processes. The ideal candidate: * Proven experience shipping production-grade web applications using TypeScript and React, with a strong product-minded approach to problem-solving. * Comfortable navigating ambiguous environments and taking ownership of full-stack features from initial design through to deployment and maintenance. * Passionate about building software for the real economy, ideally with experience in fintech, B2B SaaS, or a high-growth startup environment. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit ___. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

At ___, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently. Check out our guidance on ___, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Job Posted: March 17, 2026 Location: Americas - North, Central and South America Zapier's mission is to enable enterprise companies to build and maintain dependable AI workflows at scale. The Identity Platform team builds the golden path that every product team uses to deliver reliable, consistent, and secure experiences to these customers. Authentication, session management, and credential infrastructure are the foundation. Get them right, and every product team ships faster with confidence. We're hiring a Senior Fullstack Engineer to own this foundation, drive the strategic and architectural direction of this layer for years to come, and directly unlock our largest enterprise deals. * Enterprise authentication infrastructure. You'll design and extend the systems that handle SAML SSO, SCIM provisioning, OAuth/OIDC flows, multi-factor authentication, login, sign-up, and secure session for organizations with thousands of users. That spans the full auth surface: SCIM-driven user provisioning and de-provisioning, invitation flows, 2FA setup, SSO-enforced login, domain capture for auto-routing new signups, and session hardening. Reliability, latency, and efficiency are non-negotiables; auth is the most critical-path system at the company. You'll make these systems faster, more resilient, and easier for other teams to integrate with. * User session auth across services. Zapier is a multi-service platform. You'll own how user sessions propagate across service boundaries; making sure authentication context is consistent, secure, and performant whether a request hits the monolith, a Node.js service, or a Go microservice. You'll evolve JWT validation, token exchange, and session tracking to handle the complexity of a growing service footprint. * Enterprise authentication controls and compliance. Enterprise customers need org-level authentication policy enforcement: forced SSO, domain capture, admin-managed authentication requirements, and credential lifecycle controls like JWT key rotation, token refresh, and session expiry policies. You'll build and extend the APIs that give admins confidence their organization meets their security standards. SOC 2 access control evidence, GDPR data subject requests, and audit trail requirements are design constraints you'll work within regularly, not afterthoughts. * Platform APIs that other teams depend on. Identity is infrastructure. Your APIs, libraries, and contracts are consumed by dozens of teams. You'll design for backward compatibility, clear documentation, and low integration friction. But shipping the API is half the job. You'll also drive adoption: writing integration guides, running migration paths, and embedding with product teams to help them use auth capabilities correctly. Internal engineering teams' needs carry the same weight as end-customer value. This is a Senior Engineer role. Senior engineers at Zapier own outcomes end-to-end within their team and extend impact beyond it. You'll coordinate across ownership boundaries, shape technical direction for adjacent systems, and bring other engineers along with you. Our level definitions may look different from what you've seen elsewhere. We'll be transparent about leveling before you reach the final stages. * You've set the vision and built identity systems for enterprise SaaS at scale. Not configured them, built them. You have hands-on experience with SAML, SCIM, OAuth/OIDC, or JWT in a multi-tenant SaaS environment. You understand authentication at a protocol level, not a checkbox level. You've dealt with token replay, session fixation, key rotation under load, multi-IdP federation, just-in-time provisioning, or identity linking across auth methods in real systems serving real users. You know what breaks when an organization with 5,000 employees connects their IdP to your platform for the first time. You are a thought leader in the Identity domain who proactively follows industry trends and Enterprise user management best practices. * You work through AI agents, not alongside them. Your daily development workflow is built around directing and reviewing agent-written code, not writing it by hand. You have opinions about which models to use for which tasks, you've hit real failure modes and built mitigations, and your workflow is actively evolving. When you hit unfamiliar territory, you don't slow down; you point your agent at the codebase, research the domain, and draft a plan. Then you build a POC or working prototype to demonstrate the concept in hours, not iterate on a planning doc for days. You jump into unfamiliar codebases, use your agent to map the landscape, and ship draft MRs or integration proposals within days. At this level, that means going into other teams' code when an integration is blocked, not waiting for their capacity. Bonus: you enable others on your team to work this way too. * You think in platforms, not features. You've built systems other engineering teams depend on. You know what it means to ship a breaking change to an internal API, maintain backward compatibility under pressure, and write contracts that hold up as the organization scales. You understand the cost of coupling and the discipline of good boundaries. * You're comfortable across the stack. This is a fullstack role on a platform team. You'll write backend services in Python and Node.js, work with Django and Fastify, touch React when building admin tooling or developer-facing UIs, and navigate infrastructure concerns like Kubernetes, Terraform, and CI/CD pipelines. You don't need to be an expert in all of these, but you can't be afraid of any of them. * You believe enterprise can move fast, and you ship through ambiguity to prove it. You've seen (or want to prove) that shipping to enterprise customers doesn't have to mean slow, waterfall-style cycles. When there's no spec, no designs, and no clear path forward, your first instinct is to gather evidence, break the problem into a narrow first slice, and get rough working software into production within days, not weeks. You use working prototypes to drive alignment rather than waiting for consensus. You see compliance, security, and rollout considerations as interesting design constraints, not reasons to slow down. You're comfortable throwing work away when direction changes and you treat discarded work as a fast learning loop, not a loss. * You work close to the customer. "Customer" for this team means both enterprise buyers evaluating Zapier's security posture and internal engineering teams integrating with your APIs. You pull from both; reviewing customer security questionnaires, sitting in on enterprise calls, reading support tickets, and talking directly to engineers who consume your platform. You’ll also work closely with customer support teams to provide them with the tools and processes to troubleshoot customer issues and incidents. * You own your work, yourself, and your communication. You take initiative without waiting for permission and ship fast and share early. You manage up and across in an async-first culture, flagging risks, surfacing decisions, and keeping stakeholders informed without being asked. You use written artifacts, working demos, and rough prototypes as your primary communication tools, not meetings. You also own your mistakes, your gaps, and your role in friction, openly. You say "I don't know" and "I was wrong" out loud, early, and without shame. * Design and maintain authentication and session systems (SAML, SCIM, OAuth/OIDC, MFA, login, sign-up, 2FA, user provisioning) as Zapier scales to larger and more security-conscious customers * Own user session propagation and JWT validation across a multi-service architecture spanning Python, Node.js, and Go * Build enterprise authentication controls and governance APIs: forced SSO, domain capture, credential lifecycle, admin authentication policies * Build and maintain platform libraries consumed by dozens of internal teams * Treat reliability, latency, and efficiency of auth systems as non-negotiables; build the monitoring, observability, and audit logging to back that up * Respond to authentication-related incidents and participate in on-call rotation * Enable Security, Enterprise Response, and product team partners to move faster by removing auth bottlenecks and proactively surfacing what they need * Join yearly company retreats that rotate to various cities throughout North America The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled. Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out___ for a list of countries where we currently cannot have Zapiens permanently working.

The foundation of the modern global economy is built on a dense network of counterparty trust and risk. In the past 50 years, companies have evolved from relying on a couple of wholesalers and vendors, to utilizing 100+ SaaS vendors, contract partners, and cloud providers. Since each counterparty has their own idiosyncratic internal processes and risk profiles, businesses end up spending millions of dollars and countless man-hours conducting due diligence. Coverbase’s mission is to streamline this business-to-business assessment, reducing human toil, and allowing organizations to work together safely and reliably. We employ modern AI techniques to organize vast amounts of unstructured data and compare them against policies to identify key risks to the business. We serve customers across Fortune 500 companies in insurance, higher education, and finance — including five of the top 25 banks in the US. Our proven leadership team brings deep experience: * Clarence (CEO): Co-founder & former CTO of Unit21, a Series C fraud detection company that has raised ~$92M. * Kao (CTO): Previously led the Stripe engineering team that launched Banking-as-a-Service. We’ve raised $20M from world-class investors and our team of 20 have built important products at Google, Mapbox and Waymo. We’re looking for our Founding Platform / Infra Engineer – a strong software engineer first. You can design, build, and evolve the systems, tooling, and infrastructure that make every other engineer more effective at Coverbase. This isn’t a traditional DevOps or SRE role. You’ll be hands-on in code, but thinking in systems: how services are deployed, observed, scaled, and supported as we grow. You’ll lay the technical foundations that let us move fast and stay stable. * Manage and evolve our infrastructure — from compute and storage to networking and deployments. * Improve system observability by defining and monitoring service health metrics, ensuring we can see and understand how our systems perform in real time. * Enhance our CI/CD and deployment utilities to make releases faster, safer, and more reliable. * Contribute directly to developer experience and velocity by smoothing workflows, refining automation, and improving the overall developer journey. * Bring a builder’s mindset: ship pragmatic, stage-appropriate systems that scale with us. We’re looking for folks who care not just about their work, but the people around them — we’re building a team that’s as kind as they are talented. Day to day, you’ll: * Scale infrastructure using repeatable, environment-aware patterns for safe staging, preview, and production rollouts. * Enhance reliability by defining service health metrics, improving alerting, and leading incident response + postmortems. * Strengthen access hygiene by championing least-privilege defaults, secret rotation, and cleaner permission boundaries. * Improve observability by building actionable dashboards and alarms, and creating light daily/weekly system health signals to keep the team oriented. * Improve release safety through progressive delivery and automated post-deploy checks. * Boost developer velocity by optimizing CI/CD workflows and documentation. * Support communications by incorporating a lightweight status/incident update path customers can trust. * Lead foundational projects as our analytics and batch workloads grow – setting standards for scalability and foundational developer resources Success looks like a platform that’s predictable, observable, secure by default, and fast to iterate on. * 4+ years of professional software engineering experience, ideally including platform, infrastructure, or systems work. * You have strong software engineering foundations — you’re fluent in your dev environment, confident with git, write and review clean code, and debug systematically. * You’ve built, deployed, and operated production systems end-to-end. * Experience with: * Languages: Python, TypeScript * Infra & IaC: AWS or GCP, Terraform/Pulumi, Docker, ECS/EKS * CI/CD: GitHub Actions * Observability: CloudWatch, Sentry, Fullstory * Security & Ops: IAM, secrets management, vulnerability remediation * Pragmatic, curious, and comfortable in the ambiguity of an early-stage startup. * Excited to build systems for other engineers, not just manage legacy infrastructure. * Experience working in a seed to Series C startup as the first Platform / Infra Engineer. * Located in the San Francisco Bay Area and willing to go back into the office in a Hybrid model once the physical office opens. * Experience working with founders and leadership team regularly. * You’ll define how we build, ship, and scale software as we grow — from scratch. * You’ll act as both architect and builder, blending SWE depth with system intuition. * You’ll collaborate closely with CTO, CEO, leadership regularly as well as product engineers, helping them move faster and safer. * You’ll shape not just infrastructure, but engineering culture. Strong product addressing a latent market demand: Our AI-driven platform is transforming third-party risk management (TPRM) for top-tier financial institutions. Customers describe it as “revolutionary” and “a joy to work with,” and we’re just getting started. Here’s what some of our customers had to say about our product, unprompted: * “This is a revolutionary product… Coverbase is the single biggest step forward in TPRM I’ve seen in my career” * “You’re flipping the entire program upside down, we completed the risk assessment in 1.5 days… would otherwise have taken at least 3 weeks” * “Love how responsive you are, it’s been a joy to work with you guys” Early-Stage Impact: This is a rare opportunity to shape the trajectory of a company at the forefront of AI innovation. Your work will directly influence our success and define how we grow. Collaborative Team: Join a tight-knit, mission-driven team that values kindness, creativity, and curiosity as much as expertise. You’ll work closely with the founders and an exceptional group of engineers. * $170K to $240K base depending on experience and ability * Meaningful founding team equity. * Health insurance (100% employee / 80% dependents). * 21 days PTO. * In-person gatherings within the U.S. (travel covered) every 3-5 months. We’ll give plenty of notice for it, and cover flights and accommodation. We expect you to attend! * 401(k) with 4% matching. Location: Remote from the Continental US Reports to: CTO, Co-Founder Coverbase Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Valinor is a new type of defense and government tech company focused on solving the problems others don’t. Our unique model of centralized go-to-market and decentralized engineering allows us to move with unparalleled efficiency to identify unmet needs, build right-sized solutions, and get products where they matter most - in the hands of users. Unlike others in the space, who focus on the flashy problems, Valinor exists to solve the quiet, unaddressed problems–the small but significant ones that lead to cracks in the country’s strength, stability, and security. Backed by General Catalyst, Founders Fund, and Friends & Family Capital, Valinor was founded in 2024 and has established strategic partnerships with Palantir, Anduril, and Helsing. We are building the dream team, and we want you on it. We're building defense and aerospace technology that has to actually work — in the field, under compliance constraints, across hardware and software simultaneously. To do that, we need someone who can build and own the internal systems that make every team faster. You'll be the person who looks at a broken workflow, whether it's a hardware test pipeline, a supply chain process, a deployment bottleneck, or a security gap and builds something that fixes it for good. You'll tie together hardware, software, cloud infrastructure and AI tooling into a cohesive internal platform that Valinor's product companies run on. You'll work across every subsidiary in the portfolio, embedded with engineering and ops teams, and you'll have wide latitude to choose the right tools and build the right systems * Embed directly with product companies across the Valinor ecosystem — you're not working from a distance. You'll sit with engineering and ops teams at each subsidiary, understand how they actually work, and build solutions shaped around their real constraints and workflows. Your impact is visible and direct. * Turn what you learn in the field into lasting infrastructure — when you identify a broken process or a gap that's slowing a product team down, you own the fix end-to-end. You're not writing a recommendation and handing it off; you're building the thing and shipping it. * Be the connective tissue across hardware, software, supply chain, and DevOps — you'll frequently be the person who sees that teams are solving adjacent problems in isolation and builds the integration that makes them work together. That cross-functional view is one of the most valuable things you'll bring. * Own internal infrastructure end-to-end — cloud environments (Azure, AWS, GCP), edge deployments, and the pipelines that connect them. You set it up, you keep it running, you make it better. * Build the internal developer platform — CI/CD pipelines, GitHub Actions workflows, artifact management (JFrog), containerization (Docker/Kubernetes), and the tooling that lets engineers ship faster and safer. * Automate hardware test pipelines and logging — build systems that capture, store, and surface data from hardware testing across embedded and physical systems. Make test results traceable and repeatable. * Wire together supply chain and inventory workflows — integrate procurement, parts tracking, and inventory systems into the broader engineering and ops stack so nothing falls through the cracks. * Build continuous security automations — STIG checks, FedRAMP control validation, vulnerability scanning, and compliance reporting shouldn't be manual processes. Automate them. * Bring AI into internal workflows — identify high-leverage opportunities to use LLMs and AI tooling to accelerate engineering, ops, and compliance work. Build and deploy those tools internally. * Own government accreditation deployments — manage the deployment process for software delivered to government environments, ensuring we meet IL5, FedRAMP, and STIG requirements at every step. * 3+ years of real-world experience building and operating production systems — ideally across more than one domain * A builder mentality: you've owned systems over time, not just handed them off after initial setup * Strong scripting and automation skills in Python and/or TypeScript * Hands-on experience with CI/CD (GitHub Actions), containers (Docker/Kubernetes), and cloud platforms * AI is part of how you work you use it daily for coding, debugging, and documentation, and you've built AI-powered workflows for real internal use cases (compliance reporting, code review, log triage, security automation, etc.) * You can build with AI APIs end-to-end LLM integration, prompt engineering, orchestration frameworks. Not an ML engineer, but a builder who ships AI-powered tools * Comfort working across the stack and learning fast * Some exposure to hardware-adjacent workflows (test data, embedded systems, firmware pipelines) is a strong plus * Familiarity with government compliance environments (FedRAMP, IL5, STIG) or a strong appetite to learn them * You work well with ambiguity — a lot of what you'll build doesn't have a spec yet * Eligible to obtain and maintain an active U.S. Secret security clearance * Competitive salary, equity packages, and benefits, including health, dental, and vision insurance - fully covered for employees, 401K, development stipends, among others. * Unlimited PTO and two-week company holiday at the end of every calendar year. * We are a pro-mental health and pro-family company - we actually encourage employees to spend time with themselves and their families. Valinor also provides fertility benefits to those just beginning that journey. * Fun work environment - we like to laugh and take care of each other, but we also deeply respect the mission in front of us. * Headquartered in Washington DC with additional coworking spaces throughout the country. We also host team offsites and colocations around the U.S. This role requires the candidate be eligible to obtain and maintain a U.S. security clearance at the SECRET level. Valinor is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Valinor team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense and government technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!

Full-time Description Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter • A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality, • Your approach to reducing incorrect or unsupported outputs, • An example of how you supported other developers or teams in adopting AI capabilities, • Your physical remote work location state, • Salary expectations Responsibilities: • Platform Architecture & Evolution: Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes., • Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production., • RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources., • Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior., • Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns., • Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate., • Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling., • Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production., • Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed., • Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Education & Certification • College degree or Programming Certification (preferred), • 5+ years of equivalent work experience, • Experience building or working with AI/LLM-based systems in a production or near-production environment, • Strong understanding of agent-based patterns (ReAct, tool usage, etc.), • Experience with retrieval-based systems (RAG), vector stores, or search pipelines, • Familiarity with evaluating non-deterministic system outputs, • Experience improving system quality through testing and iteration, • Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred, • Ability to work across technologies and integrate AI solutions into an existing enterprise environment, • Experience working with multiple LLM providers, • Familiarity with emerging tools and frameworks in the agentic AI space, • Experience integrating with enterprise systems and data sources, • Experience mentoring or supporting other developers, • Strategic thinker with strong analytical and problem-solving skills, • Technically proficient with broad systems knowledge, • Excellent interpersonal, written, and verbal communication skills, • Self-directed, collaborative, and highly organized, • Customer-oriented and able to navigate high-pressure environments, • Flexible and adaptable in regards to learning and understanding new technologies., • Exceptional organizational skills and ability to keep track of multiple projects at a time., • Ability to conduct research into software-related issues and products., • Technically proficient., • Exceptional attention to detail., • Ability to work both independently and in a team-oriented, collaborative environment., • Remote work environment following core hours 8AM-5PM Central Time, • Overtime may be required to meet project deadlines or monitor system processes., • Sitting for extended periods of time., • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices., • Minimal travel will be required for the purpose of off-site software training and team meetings., • Physically able to participate in virtual and in-person training sessions, presentations, and meetings.

Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen. Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! The Staff Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. Be a keen learner: • At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases., • Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. Be a passionate problem solver: • If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Staff Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users., • You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale., • Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way! Be a great communicator: • As a Staff Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability., • Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test)., • You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales., • 9+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript., • Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker)., • Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues., • Minimum of one year experience in an internal or external customer-facing role., • Passion for helping others regardless of who they are or how they act., • Experience working with or as part of remote teams., • Strong written and verbal communication skills., • Seek to understand first, lead with data, and rely on facts., • Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc., • Experience with security certificate management and implementation., • Ability to understand use cases and translate them into Temporal design decisions and architecture best practices., • Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK., • The estimated pay range for this role is $170,000 - $215,000 depending on qualifications and location Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded. U.S. Benefits • Unlimited PTO, 12 Holidays + 2 Floating Holidays, • 100% Premiums Coverage for Medical, Dental, and Vision, • AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available), • Empower 401K Plan, • Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more! International Benefits Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with ___. Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, in-home office setup (in addition to company-issued hardware), professional memberships, work-from-home meals, and access to the Calm app for mental wellness. Travel Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together. Additional Perks • $3,600 / Year Work from Home Meals, • $1,800 / Year Professional Enrichment (Career Development & Professional Memberships), • $1,200 / Year Lifestyle Spending Account, • $1,000 / Year In-Home Office Setup (In addition to Temporal issued equipment - laptop, monitor, keyboard, mouse, trackpad, and extension power cable at no cost to you), • $74 / Month Reimbursement for Internet, • Calm App Subscription for Mental Health & Wellness Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of 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 appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist. We are not working with external recruitment agencies, thanks.

Compensation $115-145K base. Plus equity in our company! Location Remote eligible but ideally candidates are based in ET or CT time zones and can fly directly to Washington, DC. Our team and office is in Bethesda, MD and we work in person every Monday, Tuesday, and Thursday so even better if you are in the DC area or are willing to relocate to be with us. If you're remote, you will need to fly to DC approximately every month to work with our team in person. About Keep Company Keep Company is on a mission to make human connection an intentional, scalable asset in every workplace. As a venture-backed SaaS platform recognized by Techstars, Forbes, and SHRM, our patented talent platform delivers transformative relationship-based development experiences at leading professional services organizations. With our platform, talent leaders can launch, scale and measure innovative programs, including mentoring, coaching and ERGs, with little admin burden and maximum impact. We’re proud to support 20+ clients in professional services - with zero churn and multiple six-figure contracts. At a time when artificial intelligence is rapidly reshaping how we work, Keep Company is rebuilding the human layer of work, because we believe people are the most important asset that organizations can invest in to strengthen culture, retention, and performance in the moments that matter most. The Opportunity We're hiring a full-stack Software Engineer to ship features, fix bugs, and grow into a senior IC on our team. You'll work directly with our Lead Engineer and our VP, Product. You'll write production code every day, own end-to-end delivery on real client features, and pair with senior engineers on the harder work. You'll join a small team at a real inflection point: enterprise pilots running with named law firm clients, an AI-native engineering culture in active development, and a platform foundation being rebuilt from the data layer up. This role is for someone who wants to be in the middle of that — shipping, learning, leveling up — not someone who wants to coast on what they already know. We're leveling this role to the candidate. ~3-5 years of professional experience is the target, and we'll go up or down for the right person. What You'll Own • Ship features end-to-end, frontend to backend — clean code, good tests, peer-reviewed PRs., • Own bug-fix work across the platform. Help us reduce defect escape rate quarter over quarter and build the muscle memory of catching issues before they ship., • Build the testing and tooling foundation of the team — Playwright suites, CI checks, the small tooling that compounds. We just stood up automated end-to-end testing; you'll be a key contributor to making it part of how we work., • Pair with the Lead Engineer on harder architectural decisions and learn the stack at depth., • Contribute to code review and raise the team's bar through your own work. Required Experience • ~5 years of professional software engineering experience, ideally at a B2B SaaS company. Less experience with the right signal is welcome too., • Strong in our full-stack — TypeScript, React, Node — or able to demonstrate quick fluency in equivalent stacks. We don't expect a 1:1 match; we expect that you can ramp., • You write tests as part of writing code, not as an afterthought., • You can talk us through your most recent meaningful piece of code in detail — what you built, what was tricky, what you'd do differently now., • You use AI tooling daily — Cursor, Claude, Copilot, or equivalent — and have a point of view on what they're good for, where they fail, and how you verify output., • You ask questions when you're stuck and flag risks early rather than working around them., • Experience working in a small team where contractors and FTEs ship side by side., • Exposure to multi-tenant SaaS, identity systems (WorkOS, Okta), or HRIS integrations (Workday, UKG)., • Experience in HR tech, legal tech, or future-of-work environments., • You're a generous reviewer and a strong pair partner., • You take ownership of quality — not just your code, but the user experience your code creates., • You're hungry to learn but not afraid to push back when you disagree., • You communicate directly — you ask the question rather than work around it., • A real inflection point — visible impact from day one, on a platform serving named enterprise clients., • A genuine AI-native engineering culture, not a retrofitted one., • Mentorship from a Principal-level Lead Engineer in a small, ship-focused team., • A team that pairs, reviews, and ships together., • Competitive salary, meaningful equity, medical/dental/vision, 401k, and flexible PTO. ___ application (React, TypeScript) with Aurora PostgreSQL on AWS. If you're energized by our mission but don't meet every listed qualification, we'd still love for you to apply.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and About the team Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly. Position Responsibilities: In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will: • Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management., • Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability., • Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure., • Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity., • Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations., • Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements., • Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews., • Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence., • Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments. Requirements: • 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience., • Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers., • Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services., • Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies., • Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities., • Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale., • Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles., • Strong development skills: Proficiency in Python or similar languages for automation and tooling., • Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries. Preferred Qualifications: • Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity., • Rust development experience or interest in learning Rust for infrastructure tooling., • Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications., • Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing., • Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization., • CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization., • Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability., • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. New York, NY Salary Range$108,800—$136,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.