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We're recruiting for a Trusts & Estate Planning Attorney for the NY office of a growing AMLAW firm. Firm is seeking a Trusts & Estate Planning attorney with 3-5 years of experience. An ideal candidate will have experience with wealth transfer strategies and advice for high-net-worth clients, including drafting wills, trusts, powers of attorney, and other estate planning documents; charitable organization advice; and trust and estate administration and controversies. This position offers an outstanding career opportunity for immediate client contact and hands-on experience in a well-respected trust and estates practice. The ideal candidate will possess a background in estate and gift taxation, as well as the New York SCPA and EPTL; exceptional analytical and writing abilities; outstanding interpersonal skills; and a strong interest in tax and estate planning. LLM in taxation or estate planning is preferred. QUALIFICATIONS/SKILLS • Juris Doctorate degree from an accredited law school with an excellent academic record, • Admission to the New York bar, • Ability to interface directly with attorneys and clients, • Demonstrate an ability to work independently and productively, • Exceptional written and oral communication skills, • Strong decision-making, problem-solving and organization skills, • Outstanding judgement, • Ability to effectively handle multiple projects, • Ability to develop and implement legal strategies

The U.S. Marine Corps is seeking motivated attorneys to join as active-duty Marine Corps Judge Advocates, serving a vital role in national security operations worldwide. As one of 600 uniformed attorneys, you’ll gain hands-on experience across diverse practice areas, including criminal and civil litigation, international affairs, administrative law, and more. Marine Judge Advocates uphold the physical and leadership standards of all Marine Officers and use their legal expertise to directly impact military operations and the lives of fellow Marines. This role eliminates the monotony of billable hours, offering a meaningful career path without commercial pressures. Starting salaries range from $103,000 to $150,000, with potential increases up to $110,000 within two years, plus benefits including expedited promotion, health coverage, retirement, and education opportunities. There are bonuses and opportunities for pursuing an LLM. Basic Qualifications • Be a U.S. Citizen, • Candidates must possess or be pursuing a J.D. from an ABA-accredited law school, • Be under 41, • Meet high physical standards Judge Advocates are now eligible for a $110,000 Career continuation bonus! Ask your Officer Selection Officer about it! For more information regarding this position, contact First Lieutenant Douglas Johnson at with a cover letter and resume, including law school transcript if practicing for less than three years.

Kozusko Harris Duncan, a boutique private client firm with offices in Washington, DC, New York City, New Haven and Chicago, has openings in its New York office for a Junior to Mid Level Associate. Ideal candidate would have a minimum of 2 years of sophisticated law firm experience in tax and/or trust and estate planning for domestic and/or cross-border ultra-high net worth individuals and families. LLM. in tax desirable. However, we would also consider an applicant with an alternate career path and a demonstrated interest in the tax and/or trust and estate planning field. Comp Range $175,000-$250,000 Email resume to

About Us: Positron.ai specializes in developing custom hardware systems to accelerate AI inference. These inference systems offer significant performance and efficiency gains over traditional GPU-based systems, delivering advantages in both performance per dollar and performance per watt. Positron exists to create the world's best AI inference systems. Senior Software Engineer – Machine Learning Systems & High-Performance LLM Inference We are seeking a Senior Software Engineer to contribute to the development of high-performance software that powers execution of open-source large language models (LLMs) on our custom appliance . This appliance leverages a combination of FPGAs and x86 CPUs to accelerate transformer-based models . The software stack is written primarily in modern C++ (C++17/20) and heavily relies on templates, SIMD optimizations, and efficient parallel computing techniques . Key Areas of Focus & Responsibilities Design and implement high-performance inference software for LLMs on custom hardware. Develop and optimize C++-based libraries that efficiently utilize SIMD instructions, threading, and memory hierarchy . Work closely with FPGA and systems engineers to ensure efficient data movement and computational offloading between x86 CPUs and FPGAs. Optimize model execution via low-level optimizations , including vectorization, cache efficiency, and hardware-aware scheduling. Contribute to performance profiling tools and methodologies to analyze execution bottlenecks at the instruction and data flow levels. Apply NUMA-aware memory management techniques to optimize memory access patterns for large-scale inference workloads. Implement ML system-level optimizations such as token streaming, KV cache optimizations, and efficient batching for transformer execution. Collaborate with ML researchers and software engineers to integrate model quantization techniques, sparsity optimizations, and mixed-precision execution . Ensure all code contributions include unit, performance, acceptance, and regression tests as part of a continuous integration-based development process . Required Skills & Experience 7+ years of professional experience in C++ software development, with a focus on performance-critical applications . Strong understanding of C++ templates and modern memory management . Hands-on experience with SIMD programming (AVX-512, SSE, or equivalent) and intrinsics-based vectorization . Experience in high-performance computing (HPC), numerical computing, or ML inference optimization . Experience with ML model execution optimizations , including efficient tensor computations and memory access patterns . Knowledge of multi-threading, NUMA architectures, and low-level CPU optimization . Proficiency with systems-level software development , profiling tools (perfetto, VTune, Valgrind), and benchmarking. Experience working with hardware accelerators (FPGAs, GPUs, or custom ASICs) and designing efficient software-hardware interfaces . Preferred Skills (Nice to Have) Familiarity with LLVM/Clang or GCC compiler optimizations . Experience in LLM quantization, sparsity optimizations, and mixed-precision computation . Knowledge of distributed inference techniques and networking optimizations . Understanding of graph partitioning and execution scheduling for large-scale ML models. Why Join Us? Work on a cutting-edge ML inference platform that redefines performance and efficiency for LLMs. Tackle challenging low-level performance engineering problems in AI and HPC. Collaborate with a team of hardware, software, and ML experts building an industry-first product. Opportunity to contribute to and shape the future of open-source AI inference software .

About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We are hiring a senior software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – knowledge infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: * Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation * Design and build optimized indexing pipelines for structured and unstructured data * Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration * Improve retrieval quality through evaluation and observability frameworks * Design APIs for internal and external user and agentic consumers * Optimize latency, throughput and cost across large-scale inference and retrieval workloads * Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise * Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. * Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval * Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. * RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical * Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. * Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact * Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. * Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points * Experience building multi-tenant SaaS platforms. * Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. * Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: * Comprehensive health coverage including medical, dental, vision, and mental health resources * 401(k) Plan * Equity award * Flexible time off * Paid parental leave * Annual Company Retreat * WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

About Niche Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally. About The Role We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Only applications/resumes written in English will be accepted. We are looking for an experienced, proactive, and systematic Senior Site Reliability Engineer to join the SRE team at Niche. As a Senior SRE, you will take ownership of reliability outcomes for critical services, lead incident response efforts, and mentor team members while driving improvements across our platform. You will architect scalable solutions, champion reliability best practices, and influence technical decisions across the engineering organization. Engineering focus will be placed on distributed systems, automation, observability, and cloud infrastructure across AWS and GCP environments. You will lead 24/7 on call rotations, drive incident resolution, and help shape the reliability culture that serves millions of users researching schools and colleges. What You Will Do • Own and architect cloud infrastructure across AWS and GCP, including EC2, EKS/Kubernetes, RDS, ElastiCache, S3, and networking components (VPCs, load balancers, DNS), driving improvements that increase reliability and reduce operational burden, • Lead the design and implementation of secrets management strategies using Hashicorp Vault and other tools, establishing organizational standards for secure configuration management, • Architect and evolve infrastructure-as-code practices using Terraform, driving adoption of patterns that improve consistency and reduce deployment risk, • Design and optimize deployment pipelines and CI/CD systems, troubleshoot complex deployment failures with Git and FluxCD, and establish best practices for safe, reliable releases, • Support database operations including migrations and performance tuning, • Own Kafka clusters and message queue systems, including architecture decisions, capacity planning, and troubleshooting complex processing issues, • Participate in 24/7 oncall rotations, responding to alerts, triaging incidents, and coordinating with development teams to resolve production issues, • Design and implement monitoring, alerting, and observability strategies using Prometheus, Grafana, Sumo Logic, and related tools, establishing organizational standards that catch issues before customers notice them, • Define and own Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical services, balancing business needs with engineering resources, • Lead blameless post-mortems, write comprehensive incident analyses that teach others, and drive systemic improvements that prevent entire classes of incidents, • Champion access controls, IAM policies, and security configurations across cloud environments, ensuring infrastructure meets compliance and security requirements, • Identify and eliminate systemic sources of operational toil by designing automation, building self-service tooling, and improving developer workflows that scale the team's impact, • Lead AI-assisted automation initiatives to streamline SRE processes, implementing solutions that reduce toil and improve incident response, • Partner with product development teams as the reliability subject matter expert, providing architecture guidance, production readiness reviews, and proactive capacity planning, • Mentor and coach SRE team members, helping them develop technical skills and operational judgment through pairing, code review, and incident response shadowing, • Lead knowledge sharing initiatives, demos, and cross-team collaboration to elevate reliability culture and operational excellence across the engineering organization During the First Month: • Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings, • Shadow SRE team members to learn about our tech stack (AWS, GCP, Kubernetes, Terraform, Vault), the products we support, and our development standards, • Gain access to production systems, observability tools, and documentation, • Begin contributing to bug fixes, documentation improvements, and small infrastructure tasks for initial exposure and impact Within 3 Months: • Gain familiarity with our platform's underlying application stacks, deployment processes, and software development lifecycle, • Collaborate with SRE team members to implement new features and improvements within our infrastructure, • Participate in code reviews and provide constructive feedback on infrastructure changes, • Have the skills and knowledge to help analyze and resolve production issues, becoming a participant in oncall rotations, • Begin partnering with product development teams to provide platform reliability guidance Within 6 Months: • Continue gaining exposure to critical subsystems including databases, data automation, Kafka, task orchestration, and observability platforms, • Be an advocate for reliability standards within your product team partnerships, empowering developers to move faster with confidence, • Contribute to automation initiatives that reduce operational toil and improve team efficiency, • Support compliance efforts by maintaining security controls and contributing to audit evidence collection Within 12 Months: • Confidently troubleshoot and resolve complex production issues across our distributed systems, • Identify areas for improvement in our infrastructure, research best practices, and make recommendations to the team, • Use your growing knowledge of our applications to help developers implement changes that increase reliability, • Contribute to defining SLIs and SLOs for services and help establish observability coverage, • Practice and help define what it means to be an SRE at Niche What We Are Looking For * Required: • 5+ years experience with cloud platforms (AWS or GCP) and container orchestration systems (Kubernetes/Docker), • Experience with cloud networking concepts and services including VPCs, subnets, security groups, NAT gateways, VPC peering, load balancers, and DNS management (Route 53, Cloud DNS), • Strong programming skills in one or more languages (Python, Go, Bash) with demonstrated ability to build automation and tooling, • Advanced experience with Infrastructure as Code tools (Terraform, Helm, Ansible) including module design and organizational standards, • Deep understanding of Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, distributed systems), • Experience with SQL databases (PostgreSQL, MySQL, or SQL Server) including performance tuning and capacity planning, • Experience designing and operating CI/CD pipelines for reliable software delivery, • Track record of leading incident response and driving complex issues to resolution, • Demonstrated ability to mentor engineers and contribute to team technical growth, • Excellent collaboration and communication skills, with ability to influence technical decisions across teams Preferred: • Experience designing and implementing observability strategies using Prometheus, Grafana, Datadog, Sumo Logic, or similar platforms, • Deep understanding of SRE principles including SLIs, SLOs, error budgets, toil reduction, and reliability engineering practices, • Experience operating message queue systems (Kafka, RabbitMQ, or similar) at scale, • Experience with secrets management tools (HashiCorp Vault, AWS Secrets Manager) including design of organizational policies, • Experience with cloud systems infrastructure design, capacity planning, and cost optimization, • Interest in leveraging AI and automation tooling (such as MCP servers, agentic workflows, or LLM-assisted operations) to streamline SRE responsibilities, • Bachelor's degree in Computer Science, a related field, or equivalent experience Interview Process Candidate experience is a top priority for our talent and hiring teams. We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience. The interview process is outlined here: * Phone Screen with Talent Acquisition Partner - 30 Minutes * Video Interview with Hiring Manager - 45 Minutes * Team Interview - 45-60 Minutes * Leadership Interview - 30 Minutes We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Only applications/resumes written in English will be accepted. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

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.

As a Senior Software Engineer on our Trust & Safety team at Vercel, you’ll build and operate systems that protect millions of developers and projects from abuse at internet scale. This role blends security engineering, data analysis, and applied LLM techniques, working closely with product, infras

About the role We are looking for a Staff Site Reliability Engineer to lead AI enablement across our engineering organization. As AI-assisted development reshapes how software gets built, a new platform layer is emerging underneath — one that requires guardrails, quality gates, security standards, and tooling infrastructure to ensure AI-generated output is reliable, secure, and production-worthy. This role owns that layer. This role blends building and buying — you'll design and develop custom tools and frameworks where the market doesn't meet our needs, while continuously evaluating the evolving landscape to ensure we're leveraging the best solutions available. We aim to be on the cutting edge, not the bleeding edge — investing deliberately in what delivers real value and staying ready to pivot when the market shifts meaningfully. You will define and drive the strategy for embedding AI-native tools and practices into the software development lifecycle — from AI-assisted code review and developer workflow automation to establishing security standards for emerging frameworks like MCP. You'll own AI tooling standards for the engineering org, evaluate and adopt the best platforms, use data to measure impact and prioritize where to invest next, and partner with teams to automate repetitive workflows using agentic tools. This is a visible, high-influence role — you'll run lunch-and-learns, shape best practices, and be the go-to voice for how we leverage AI to multiply engineering output while keeping the foundations trustworthy. This role sits within our Platform SRE team, and you'll participate in the team's ad-hoc support rotation, providing infrastructure guidance and troubleshooting for engineering teams. This means you bring deep SRE fundamentals — AWS, Terraform, production operations — alongside your AI enablement focus. Responsibilities • 8–10+ years of experience in SRE, DevOps, Cloud Engineering, Platform Engineering, or Software Development roles, • Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, or similar, • Experience building AI/LLM-powered developer tools or integrations, • Demonstrated ability to drive org-wide tooling adoption, including change management, training, and measuring outcomes, • Proficiency in prompt engineering techniques, • Proficiency in Go or Python, with experience building production-grade automation, tooling, or libraries, • Hands-on experience operating production environments in AWS, • Strong experience with Terraform, • Experience with container orchestration platforms like ECS or Kubernetes, • Familiarity with CI/CD tools such as GitHub Actions, • Solid understanding of observability practices including system metrics, distributed tracing, and SLOs. Datadog is a plus., • Exceptional communication and presentation skills, both written and verbal Skills and Qualifications • AI Enablement Strategy: Define and own the standards and best practices for AI-assisted development across the engineering organization, from tool selection to workflow integration., • Tooling Development: Evaluate, build, or adopt AI-powered tools that improve code quality, catch vulnerabilities earlier in the development process, and reduce review cycle times — whether that means evolving internal solutions or identifying and integrating third-party platforms., • Adoption & Advocacy: Partner with engineering teams to understand what's impacting their AI tool adoption, guide them through improvements, and lead org-wide enablement efforts such as lunch-and-learns, workshops, and documentation., • Measuring Impact: Establish metrics and feedback loops to quantify the impact of AI tooling on developer productivity, code quality, and delivery speed., • Infrastructure Automation: Contribute to the design and scaling of production environments using AWS and Terraform when on rotation or as needs arise., • Mentorship & Standards: Mentor engineers across the team, uphold high infrastructure quality, and actively shape the best practices and standards used by the organization., • On-Call: Participate in a low-volume on-call rotation. Bonus Points • Experience troubleshooting complex distributed systems in a high-traffic production environment., • Exposure to event streaming systems such as Kafka or Kinesis., • Experience building Internal Developer Platforms (IDP) or designing self-service infrastructure workflows., • Familiarity with systems security, compliance requirements, or infrastructure hardening., • Experience with agentic AI workflows, MCP frameworks, or AI-powered automation beyond code generation., • Track record of leading incident response or driving post-incident review processes. Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $150,000/year in our lowest geographic market up to $200,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks • 100% medical, dental and vision coverage, • Flexible PTO policy, • Annual home office stipend and WeWork access, • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!, • Competitive compensation and opportunity for advancement

Claritas Rx is a venture-backed digital health startup that brings clarity to the challenges of specialty biopharmaceutical products in the marketplace. In today’s highly complex specialty networks, our mission is to illuminate the patient experience beyond the clinical trial. Claritas Rx leverages a proprietary technology platform and deep manufacturer expertise to automate and integrate channel, commercial, and clinical data and help biopharmaceutical companies generate actionable business insights. Our work uncovers the real-world variables impacting patient access, duration of therapy, and other metrics key to commercial success, making a real impact on patient healthcare. We're hiring a Senior Full Stack Engineer to join our Management Apps team. You'll report to the Software Engineering Manager and work across the entire stack, building APIs and services on the backend while shipping polished, user-facing features on the frontend. This isn't a backend role with occasional frontend work or vice-versa. You'll be expected to move fluidly between both. This is a high-ownership role. You'll partner with Product Management, Architects, and engineers across teams to ship features that give biotech and pharmaceutical companies actionable clinical and business insights. Someone who doesn't just write code but shapes technical direction. Our Stack • TypeScript across the entire codebase, • Backend: NestJS, TypeORM, PostgreSQL, AWS DynamoDB, Zod, • Frontend: React 19, Vite, Tailwind CSS, Radix UI, TanStack Query, Zustand, React Hook Form, • Infrastructure: AWS (CDK, ECS, EC2, Aurora RDS, Cognito, S3, SES, SQS, EventBridge, Lambda, Secrets Manager), • Tooling: Turborepo, pnpm, ESLint, Prettier, Swagger/OpenAPI, Github Actions (status checks / deployments), • Testing: Jest, React Testing Library, Playwright, Testcontainers, • Integrations: Twilio, Tableau, Novu, • Monitoring & Observability: Sentry, CloudWatch, OpenFeature (feature flags), • Design and build APIs and services in our NestJS/TypeScript backend, including domain modeling, schema design, and service architecture., • Build and iterate on user-facing features in our React/TypeScript frontend, turning wireframes and product requirements into production UI., • Own features end-to-end: from understanding the problem with Product, through implementation on both sides of the stack, to production observability., • Ensure the delivery of high-quality, reliable, and maintainable software by implementing comprehensive automated testing across the full stack (frontend, backend, and integration layers), • Work within our AWS infrastructure and make informed decisions about service boundaries and cloud-native patterns., • Proactively identify and resolve production issues. You care about system health, not just shipping., • Mentor other engineers through code review, pairing, and architectural guidance. Requirement Skills: • 5+ years of professional software engineering experience, building web based, multi-tenant, commercial applications, • Strong engineering skills across the full stack in TypeScript. You've built and operated production-grade services and shipped production-grade UIs that real users depend on., • Experience with relational databases (PostgreSQL preferred), including schema design, query optimization, and migrations., • Proven ability to build effective UI in a modern React/TypeScript codebase. You're comfortable with component architecture, state management, and working with design systems., • AWS experience building and deploying cloud-native applications. Familiarity with our specific services (CDK, Cognito, Lambda, SQS, EventBridge, S3) is a plus., • Ability to navigate and debug across multiple layers of the stack (UI, services, databases, ETL pipelines), • You've worked in a monorepo or multi-service architecture and understand the tradeoffs., • You've shipped SaaS products and understand what it means to operate software, not just deploy it., • Strong written and verbal communication skills, with the ability to articulate technical decisions and collaborate effectively across teams., • You're comfortable with ambiguity and can make progress without perfect requirements. Preferred Skills: • Healthcare domain experience or familiarity with HIPAA/SOC/HITRUST compliance requirements., • Experience with infrastructure-as-code (AWS CDK, Tofu, Terraform, etc.)., • Experience leveraging AI tools like Claude to accelerate development workflows, automate repetitive engineering tasks, or integrate LLM capabilities into product features., • You've been through hypergrowth at a startup and know what that demands. We are seeking to add new expertise and perspective to our strong team of experienced professionals. We aspire to a culture of accelerated professional development through shared learning and collaboration; a respectful and fun work environment; and employee empowerment through the effective use of technology and tools. We are a highly collaborative team and prioritize opportunities to connect in person. For employees within a reasonable driving distance of each other, we host regional town hall gatherings approximately every other month. These sessions give our teams a chance to come together, share updates, and strengthen relationships beyond day-to-day work. In addition to our great environment, we offer a salary of between $140,000 and $160,000 and benefits package and the opportunity to make a significant impact on a first-in-industry digital health solution. Please send a cover letter along with your resume when applying to the position of interest. Claritas Rx embraces diversity, equality, and transparency. We are committed to building a team that comprises a variety of backgrounds, perspectives, and talents. We believe the more inclusive we are, the better we are. Join us and discover what it feels like to be part of an environment that rewards ingenuity, risk taking and smart work. It's time to fall in love with what you do! At Claritas Rx, protecting our candidates is a top priority. If you're applying for a role with us, please note: • All legitimate opportunities are posted first on our official website. Check there before trusting external listings., • We believe in meaningful interviews: offers never come after just one phone call or form. Expect multiple video calls to get to know you., • We never ask for fees or payments of any kind during the hiring process., • Our People Operations Team will handle your onboarding, and all equipment comes directly from us—no purchases required. Learn more about how to spot recruitment scams and protect yourself - FBI warning: ___ Claritas Rx is committed to transparency, integrity, and a safe hiring experience for every candidate. Learn more: ___

___ is building the modern platform for business brokers — combining technology, support, and community to help brokers run more successful, scalable practices. We’re looking for a Full Stack Engineer to help design, build, and scale our core product. You’ll work closely with a small team of engineers and founders to deliver impactful features end-to-end—from frontend UI to backend services and infrastructure. This is a great opportunity for someone who enjoys wearing multiple hats, contributing to product decisions, and working with modern tools and AI-assisted workflows. * Design, build, and ship full-stack features using modern frameworks (e.g., React/Next.js) * Develop and maintain scalable backend services and APIs (e.g., Python-based frameworks) * Work with relational databases (e.g., Postgres) to model, store, and query data * Deploy and manage applications in cloud and serverless environments * Monitor, debug, and improve application performance and reliability using modern tooling * Analyze user behavior and product metrics to inform product decisions * Implement authentication and user management flows using third-party services * Collaborate closely with a small team on architecture, product direction, and technical tradeoffs * Contribute to rapid iteration cycles while maintaining strong engineering standards * Leverage AI tools to accelerate development, testing, and problem-solving * 3–6 years of experience as a full stack engineer * Strong experience with modern JavaScript frameworks (React / Next.js preferred) * Experience building APIs (Python, FastAPI, or similar) * Solid understanding of relational databases (Postgres preferred) * Familiarity with cloud environments (GCP, AWS, or similar) * Comfortable working in a startup environment with ambiguity and ownership * Ability to move quickly while maintaining good engineering practices * Experience with serverless architectures * Familiarity with data pipelines or working with large datasets * Experience integrating or building with AI/LLM tools * Startup experience or working on small, fast-moving teams * Help shape how small and mid-sized businesses are bought and sold * Work closely with leadership and influence product direction * Compensation: annual salary range of $140,000-$150,000 USD, as well as medical benefits and early-stage equity in the company * This role is fully remote, but you must be either Canada or US-based

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.) We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting ___. We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great. So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth. The MNTN Creative Delivery Services team manages ad delivery from backend to front end. As part of this team, you’ll contribute to the core infrastructure that drives creative processing, delivery, and optimization across our entire platform. You'll be joining the group that owns our high-volume ad server and the pipelines that manage how creative assets are ingested, transformed, and served. As a Backend Engineer, you'll play a key role in developing scalable systems, improving performance, and building new integrations that expand creative capabilities for some of the world’s most recognizable brands. Your work will directly impact the flexibility, speed, and reliability of our ad experiences—at scale. What you’ll do • Design, build, and operate high-throughput Java/Kotlin services that power our ad server and creative delivery pipelines, • Own systems end-to-end — from API design and ingestion flows to transformation, caching, and global delivery, • Work across the stack when needed (Rust services, Kafka streams, Terraform, relational databases) to solve the right problem with the right tool, • Improve performance, observability, and resiliency of critical production systems running at scale, • Partner closely with Product and Project leads to translate business needs into scalable technical solutions, • Contribute to architectural decisions that shape the future of our creative platform, • Raise the engineering bar through thoughtful code reviews, design discussions, and pragmatic best practices What success looks like • You own and evolve high-scale services within our ad serving and creative delivery platform, ensuring low-latency, high-availability performance under sustained traffic., • You design and ship scalable solutions that measurably improve system reliability, throughput, or cost efficiency., • You proactively identify architectural risks and technical debt, driving improvements before they impact customers or operations. What you’ll bring • 5+ years building production-grade backend systems in Java, Kotlin, or Scala, • A product mindset — you care about why you’re building something, not just what you’re building, • Experience designing and operating high-scale, distributed systems, • Strong SQL fundamentals — schema design, indexing strategies, query optimization, and performance tuning, • Comfort working across multiple technologies and services, even outside your primary language, • Solid understanding of RESTful APIs and microservices architecture, • Familiarity with messaging systems (e.g., Kafka) and asynchronous processing patterns, • Practical use of AI-assisted development tools (Cursor, ChatGPT, LLM copilots) to improve speed and quality MNTN Perks • 100% remote within the US, • Flexible vacation policy, • Annual vacation allowance for travel related expenses, • Three-day weekend every month of the year, • Competitive compensation, • 100% healthcare coverage, • 401k plan, • Flexible Spending Account (FSA) for dependent, medical, and dental care, • Access to coaching, therapy, and professional development About MNTN Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN. MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue. Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University. #LI-Remote

The Data Engineer – Asset Management Analytics supports internal Asset Management and Asset Accounting customers by delivering AI-driven analytics products that support asset onboarding and improve portfolio health, asset performance, operational decision-making, and accounting readiness. This role partners with Asset Management, Asset Accounting, Finance/Investor Reporting, Risk, and Operations to translate business requirements into reliable data sets, repeatable calculations, and automation across both operational and financial reporting workflows. A core emphasis of the position is (1) asset onboarding—organizing and normalizing incoming data tapes and documents into internal systems and models with strong quality controls; (2) investor reporting—developing queries and logic for complex investor reports and waterfall calculations, then streamlining and automating those workflows using modern technology, including LLM-enabled document intelligence where appropriate; and (3) asset accounting support—enabling subledger accounting, reconciliations, and integrations into supported general ledger systems. • Support asset onboarding end-to-end: understand and parse data tapes to define/refine portfolio composition, map fields to internal models, and reconcile inconsistencies across sources., • Gather, organize, inventory, and load source documents and data into destination internal systems with clear traceability and audit-ready documentation., • Normalize incoming data (units, naming conventions, identifiers, hierarchies, dates) to work with internal models; identify gaps, exceptions, and remediation needs., • Validate data and documents for quality and completeness using automated checks and reconciliation (schema/constraints, cross-field validation, duplicate detection, tie-outs to source totals) and targeted manual review., • Partner with Finance/Investor Reporting to understand investor report requirements and develop robust SQL/Python queries that produce accurate, repeatable, and auditable data sets for complex recurring reports., • Develop and maintain calculation logic for investor reporting and distribution waterfalls (cash flows, allocations, fees, reserves, performance metrics) with strong controls, testing, and variance analysis., • Partner with Asset Accounting and Finance to define and maintain accounting-ready data sets, event-to-accounting mappings, and controls that support period-end close, reconciliations, and auditability., • Support subledger accounting workflows and integrations into supported GL systems by developing data transformations, interfaces, tie-outs, and exception reporting for journal entries, balances, and account activity., • Automate and streamline onboarding and investor reporting workflows by building parameterized pipelines, standardized datasets, templated outputs, and monitoring/alerts to reduce cycle time and manual effort., • Leverage LLMs to accelerate development and unlock value from large document sets (e.g., extraction, classification, summarization, grounded Q&A/search) to support onboarding and reporting, with appropriate governance and human review., • Deliver stakeholder-ready outputs through Power BI dashboards and operational reporting (progress, completeness, defect rates, variances, and SLA performance)., • Collaborate with Data Engineering/IT to improve data quality, lineage, and access controls across Snowflake and PostgreSQL; deploy solutions reliably and securely., • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Finance, or a related quantitative field., • 5+ years of experience in data science/analytics in a financial services environment (e.g., asset management, banking, insurance, fintech, credit/loan portfolios, structured finance)., • CFA (Chartered Financial Analyst) candidacy/charterholder preferred, or comparable credentials/experience (e.g., FRM, CAIA, MBA with finance focus)., • Strong Python and SQL skills, with experience building production-quality data pipelines, validation checks, and repeatable transformations., • Experience working with Snowflake and PostgreSQL, and delivering investor- and stakeholder-ready outputs through Power BI., • Experience supporting investor reporting and/or finance analytics, including complex recurring reports and waterfall/distribution calculations (preferred)., • Experience supporting asset accounting, subledger accounting, and GL integrations, including reconciliations, journal-entry support, and controls for accounting data pipelines (preferred)., • Familiarity with supported GL systems and accounting data structures (e.g., chart of accounts, trial balance, journal entries, subledger-to-GL tie-outs) is strongly preferred., • Experience with asset onboarding, data tape ingestion, and reconciling third-party data and documents into internal systems (preferred)., • Hands-on experience applying LLMs to enterprise data and large document corpora (e.g., extraction/classification/summarization and grounded retrieval such as RAG) in a way that is accurate, traceable, and secure., • Strong communication and stakeholder management skills; ability to translate ambiguous requirements into structured deliverables and clear exception reporting., • Familiarity with Git, orchestration/workflow tools (e.g., Airflow), and responsible AI practices (privacy, security, PII handling, model risk) is a plus.

The Company GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken's seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments. Discover smarter, faster development at or follow us on LinkedIn. The Role We are looking for a Software Engineer to join our team, with a focus on building the next generation of AI-powered developer experiences. In this role, you will help bring agentic workflows and LLM-driven capabilities to life directly inside the tools that millions of developers use every day and you will be using those tools yourself as you build them. You will work across our frontend surfaces to design and ship features that integrate large language models, automate toil, and make GitKraken feel genuinely intelligent. This is a great opportunity to grow your skills in agentic systems, prompt engineering, and developer-facing API design while contributing to a product with deep real-world impact. We are committed to having an inclusive and authentic work environment where unique perspectives, skills, and backgrounds are celebrated. We work hard to foster diversity in our workplace and encourage people from all backgrounds to apply. Even if you don't meet 100% of the requirements, don't let self-filtering and imposter syndrome get in the way of a great fit. We would love to hear from you! What You'll Do • Build and ship AI-powered frontend features that make GitKraken feel like a genuine AI teammate for developers., • Integrate LLM APIs (OpenAI, Anthropic, and others) and agentic frameworks into GitKraken's frontend, designing the UI/UX flows that make complex model interactions feel simple and trustworthy., • Collaborate with backend and platform engineers to define developer-facing APIs that power agentic workflows, surfacing the right data at the right time in the GitKraken interface., • Participate in the planning and technical design of new features, surfacing unanswered questions early and proposing alternatives that align with user goals and architectural constraints., • Write clear, maintainable TypeScript and React code — because this codebase is large, evolving, and used by a global team that values readability as much as performance., • Participate in code reviews, manual testing, and iterative feedback cycles to ensure every release meets the quality bar our users expect. What You'll Bring • Strong programming skills in TypeScript and React, • Build and refine agentic workflows that reason across multiple steps and contexts, • Prompt Engineering: Strong skills in prompt engineering, • Familiarity with LLM APIs and AI-assisted development tools — you've built with them or used them deeply enough to understand their strengths, failure modes, and user experience implications., • An instinct for translating ambiguous product requirements into well-scoped technical plans, with a habit of asking the right questions before writing a line of code., • A solid foundation in computer science fundamentals — data structures, algorithms, and design patterns — that informs how you approach complex UI and data problems., • Collaborate across teams to ensure that AI outputs align with user needs and product goals, • Stay current with the latest generative AI developments and apply them to new use cases Bonus Points • Familiarity with cross-platform desktop application development., • Prior work on developer tools, IDE extensions, or productivity-focused applications., • Contributions to open-source projects or a portfolio of personal projects that demonstrate initiative and craft. How You'll Be Rewarded • 💵 Excellence — Competitive compensation with annual performance-based pay increases, • 🏖 Balance — Flexible Paid-Time-Off Policy & paid company holidays (chosen by our employees), • 👶 Parent life — Generous paid parental leave, • 🐶 Pets — Pet insurance plan (with no exclusions), • 🍎 Health — Health, dental, and vision insurance with competitive employer cost-sharing, • 🌵 Headquarters — Modern, fully equipped offices designed to maximize productivity in a hybrid environment, • 🏆 Culture — Great Place to Work Certified, • 📚 Growth — Paid career development opportunities, audiobook subscriptions, and mentorship, • 🔮 Future — 401(k) retirement plan plus company matching, • 🛫 Travel — Company paid domestic trip after your 1-year anniversary & an international trip every 5 years Location This is a hybrid position based in Scottsdale, AZ. This role combines the flexibility of remote work with the benefits of meaningful in-person collaboration. Candidates must reside in or be willing to relocate to the Phoenix area. Equal Employment Opportunity At GitKraken, we believe that diversity among our teammates is critical to our success as a company. GitKraken evaluates all employees and job applicants without regard to race, color, religion, gender (including pregnancy, gender expression, or gender identity), national origin, age, disability status, or any other legally protected class. We recruit, hire, and retain top talent from a diverse candidate pool.

Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We’re looking for a visionary, hands-on Principal Full Stack Engineer to join our engineering department. This is a high-impact, key role as you will be the first US-based engineer dedicated to the Steer platform. In this role, you will be instrumental in architecting and deploying robust, scalable, and secure applications that define the future of the auto repair industry. While our current stack includes .NET, React, and Node.js (TypeScript), specific experience with our stack is not a requirement. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to assist with and accelerate coding across any language. If you are a customer-centric builder who thrives on ownership and wants to shape the AI strategy of a growing SaaS business, we want to meet you. This role is 100% remote (US only), reporting directly to our Head of Product and Engineering, Steve Fafel. You Will: • Technical Strategy & Ownership: You will focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. We don't expect you to do this alone; we encourage the heavy use of AI-assisted coding to accelerate development and bridge any gaps across our stack., • Adaptive Development: Be ready to pivot at a moment's notice. Based on evolving business needs, you may need to shift focus to work on new or existing integrations to ensure our ecosystem remains seamless., • Customer-Centric Development: Partner closely with Product to understand user pain points, ensuring every line of code adds tangible value to the auto repair shops we serve., • System Design & Scalability: Architect reusable full stack components and services that ensure our platform remains performant as we scale., • Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization., • Modern DevOps: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices to ensure a seamless developer experience and operational reliability. You Have: Must Have: • 7+ years of professional experience building complex, web-based SaaS products., • AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You are more interested in the logic and outcomes of AI integration than staying tethered to a specific legacy framework., • Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization., • The "Owner" Mindset: A track record of taking full accountability for projects and a passion for solving "impossible" problems in fast-paced environments., • Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Excellent verbal and written communication skills. Nice to Have: • Familiarity with our current stack: .NET, Node.js (TypeScript), and React., • Experience with Infrastructure as Code (Terraform, CloudFormation)., • Previous experience as a founding engineer or in an early-stage startup environment. Interview Process: • Initial Screen: 30 min with Lead Recruiter., • Hiring Manager Interview: 60 min with Head of Product and Engineering., • Technical Interview: 60 min with a Principal Engineer., • Career Journey Interview: 60 min with the Director of People., • Reference Checks We Offer: • Equity Options: Own a piece of the company’s success., • 100% Remote: Work from anywhere in the US., • 100% Employer-Paid Medical Insurance., • Flexible PTO: With a 15-day minimum., • FSA and HSA options., • Generous Parental Leave., • 401k & Learning Stipend., • WFH Equipment: Everything you need for a world-class home office., • Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you’ll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. We are looking for a Senior Data Engineer to join our Data Automation team. You will play a critical role in designing and building scalable data platforms and pipelines that power Socure’s identity verification products and analytics. This role is ideal for someone who has a strong passion for solving real business problems with data, and combines deep hands-on data engineering expertise with strong ownership. • Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains., • Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation., • Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies., • Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency., • Optimize cost, performance, and reliability of data workloads., • Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions., • Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient., • 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines., • Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics., • Deep experience with distributed data processing frameworks, such as Apache Spark, including performance tuning and optimization., • Proven experience building data solutions using services on AWS (EMR, Lambda, s3, etc)., • Strong understanding of data modeling and data warehousing concepts, including partitioning, schema design for large-scale datasets., • Experience operating and supporting production pipelines, including monitoring, alerting, incident response, and improving reliability over time., • Solid foundation in software engineering practices, including version control, CI/CD, testing strategies, and code review., • Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications • Experience with streaming or near-real-time data processing (Kafka, Kinesis, etc)., • Hands-on experience with data orchestration tools (Airflow, Step Functions, etc)., • Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams., • Experience with prompt engineering using modern GenAI, Large Language Models (LLM)., • Experience mentoring other engineers and contributing to engineering-wide standards, best practices. As a note; Socure cannot provide sponsorship now or in the future for this role. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! ___ | ___ | ___ | ___

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 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. 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 & Frameworks: FastAPI, React, Remix, Next.js, React Aria, • Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, • Monitoring: Datadog, PagerDuty, Sentry, • Version Control: Github, PagerDuty At Headway, we treat infrastructure and developer experience as force multipliers. Our teams work on high-leverage problems at the intersection of scale, healthcare complexity, and real-world impact—often without the safety net of large, fully staffed orgs. What makes this work unique is that, as the largest provider network in the U.S., we have a rare opportunity to prove to the market that this model can work—and that it meaningfully improves care. • Our Payers and Outcomes group is making early, foundational architecture decisions that will shape how Headway scales and how we integrate with payers and measure outcomes over the long term. We’re building the technology that allows us not just to identify risk, but to actively support providers in doing better work—starting with operational areas like coding and billing, and extending into much more nuanced clinical practice., • In partnership with top clinicians, we are developing applied LLM systems that can deliver actionable, trustworthy feedback to providers: helping them improve documentation, reduce administrative burden, and ultimately raise the level of care toward more evidence-based and value-based practice. This requires balancing automation with explainability and trust in a highly regulated environment., • At the same time, we are tackling the “one-size-fits-none” problem in mental healthcare. We recognize that providers have different strengths and areas of excellence, and we are building systems that match patient acuity to those strengths—so patients receive the right level of care and providers can operate at the top of their license., • There is still much to do. But this work represents a true paradigm shift for mental healthcare in the U.S.—a generational change in how quality, outcomes, and access are aligned. This is the technology we are building, and this is the impact we are here to drive. These initiatives reflect how we operate: small teams, high ownership, technically deep problems, and outcomes that matter—to the business, providers, and patients alike. 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, • Has designed and scaled ML / LLM-powered systems in production, • Architected complex systems spanning multiple technical domains or product areas (e.g., publishing npm packages or owning infrastructure depended on by multiple teams), • Driven technical vision and strategy at the organization level, by writing and reviewing technical design documents and participating in quarterly planning activities, • Established engineering standards and best practices across multiple teams, • Led major technical initiatives requiring coordination across multiple teams, • Mentored senior engineers and technical leaders 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. 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: The expected base pay range for this position is $224,000 - $280,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. 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 inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click ___ A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at . Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals 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.

The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. • Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations, • Sell agentic AI solutions by mapping Scale's capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research), • Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy, • Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions, • Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments, • Navigate regulatory, security, and procurement processes unique to financial services environments, • Act as the voice of the customer internally-informing product roadmap, agent design, and vertical-specific solutions, • Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools, • Operate with urgency and precision in a fast-paced, highly cross-functional environment, • 8-12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech), • Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions at a business and technical level, • Deep understanding of financial services workflows (e.g., underwriting, claims, fraud, KYC/AML, research, operations) and how technology transforms them, • Demonstrated success engaging and influencing executive stakeholders, including building and delivering compelling business cases and ROI narratives, • Strong command of enterprise sales methodology, including account planning, multi-threading, and disciplined forecasting, • Ability to navigate ambiguity, long sales cycles, and complex stakeholder landscapes with high ownership and resilience, • Excellent communication and storytelling skills across both technical and non-technical audiences, • High level of business acumen, technical curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into financial services, • Background working with or alongside risk, compliance, or data organizations within large enterprises, • Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments 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.

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. • Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives, • Sell agentic AI solutions by mapping Scale's capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review), • Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial), • Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions, • Partner closely with Solutions Engineering to design and land technically credible pilots, POVs, and production deployments, • Navigate healthcare-specific regulatory and compliance requirements (e.g., HIPAA, GxP, data governance, auditability) throughout the sales process, • Act as the voice of the customer internally - informing product roadmap, agent design, and vertical-specific solutions, • Maintain strong pipeline discipline, forecasting accuracy, and deal hygiene using Salesforce, Clari, and related tools, • Operate effectively in a fast-paced, cross-functional environment with high ownership and attention to detail, • 8-12+ years of enterprise sales experience, with significant focus on healthcare or life sciences (providers, payers, pharma, biotech, or digital health), • Proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions to both technical and non-technical stakeholders, • Strong understanding of key healthcare/life sciences workflows (e.g., clinical operations, revenue cycle, patient engagement, R&D, clinical trials, pharmacovigilance), • Demonstrated success engaging executive stakeholders and building compelling ROI-driven business cases, • Familiarity with regulatory and compliance considerations (e.g., HIPAA, FDA/GxP, data privacy, model governance), • Strong command of enterprise sales fundamentals, including account planning, multi-threading, and forecasting discipline, • Ability to navigate long, complex sales cycles with multiple stakeholders and competing priorities, • Excellent communication, storytelling, and executive presence, • High degree of ownership, intellectual curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into healthcare or life sciences, • Background working with clinical, regulatory, or data organizations, • Familiarity with EHR systems, clinical data, or real-world evidence platforms 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.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. 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.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers, • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal, • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions, • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes, • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency, • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence, • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements, • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution 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.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. 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:$252,000—$315,000 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.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. 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:$216,000—$270,000 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.

We are seeking a Director of Decision Science to build and scale one of Workiva's most strategically important functions. This is not a role for someone who maintains the status quo-it's for a leader who sees around corners, raises the analytical bar, and fundamentally changes how Workiva uses data to compete and grow. You will lead our Decision Science team, set a transformative vision, and drive initiatives that influence decisions at every level of the business. You will harness state-of-the-art technologies-including Snowflake Cortex, AI-powered analytics, and modern ML platforms-to build capabilities that didn't exist before. You will shape Workiva's Enterprise Data Strategy, influence how business functions operate through data-backed recommendations, and help build a company where data is a genuine competitive advantage. This role reports to the VP of Enterprise Data & Analytics. What You'll Do Build & Scale Analytics Capabilities Across Workiva * Grow and scale a world-class decision science function-defining the capability roadmap, tooling standards, and operating model that compound in value over time * Introduce and embed state-of-the-art analytical capabilities, including Snowflake Cortex, LLM-assisted analysis, AI-powered self-service insights, and modern MLOps practices, into the team's everyday workflow * Oversee the full model lifecycle-from development and validation through deployment, monitoring, and optimization-ensuring analytical products stay accurate and impactful over time * Establish a culture of analytical excellence, curiosity, and continuous learning-where the team is always pushing the boundaries of what's possible with data * Recruit, develop, and retain exceptional talent across data science and BI disciplines, building a team that is both technically elite and business-savvy * Define and lead the Data Science and BI strategy and roadmap, ensuring alignment with company priorities and measurable business outcomes Drive Business Impact Through Insights * Partner deeply with Sales, Product, Customer Success, Marketing, Finance and other business teams to influence functional strategies and operations through rigorous, data-backed recommendations * Translate complex, ambiguous business problems into structured analytical approaches-guiding teams to deliver high-quality, decision-ready insights that move the needle * Present data-driven recommendations to senior and executive leadership, shaping strategy through compelling narratives that connect analysis to outcomes * Drive an agile, iterative delivery process, breaking complex initiatives into executable components and continuously improving based on stakeholder feedback Accelerate Workiva's Enterprise Data Strategy * Partner with leaders in Data Platform, Data Product Management, and Data Governance to co-develop and execute Workiva's Enterprise Data Strategy * Champion the design and governance of a standardized, company-wide metrics framework-ensuring consistency, integrity, and alignment across all business functions * Act as a thought leader and strategic advisor on AI/ML and advanced analytics, elevating data maturity across the organization and influencing how the company thinks about data as a strategic asset * Collaborate with Data Engineering and Analytics Engineering to design scalable data assets, metrics, and features that meet evolving business and analytical needs * Uphold data ethics, compliance, and responsible AI standards - promoting transparency, fairness, and trust in all analytical initiatives Elevate Self-Serve and BI Capabilities * Drive the evolution of Workiva's BI and self-service capabilities-moving from static reporting to AI-powered, decision-ready intelligence accessible to all business users * Establish and maintain best practices in metrics design, model reproducibility, experimentation, and data governance * Communicate clear, actionable insights to both technical and non-technical audiences, tailoring messages for maximum impact at every level of the organization What You'll Need Minimum Qualifications * 8+ years of experience in Decision Science, Data Science, Machine Learning, or related analytical fields with an advanced degree or 10+ years of experience with a Bachelors, including 3+ years leading high-performing technical teams * Proven experience in SaaS or B2B environments, specifically using data to drive Go-To-Market (GTM), customer success, or product strategy * Sufficient hands-on background to evaluate methodology choices, conduct code-level dialogue, and guide analytical rigor across the modern data stack (e.g., Snowflake, SQL, or cloud data platforms) * Demonstrated success in building, scaling, and inspiring technical talent across Data Science and BI disciplines * Ability to influence functional strategies through compelling narratives presented to C-suite or senior leadership * Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and deliver measurable business outcomes Preferred Qualifications * Familiarity with modern transformation tools (e.g., dbt, metrics layers) and enterprise BI platforms (e.g., Sigma, Looker) * History of leading or co-leading enterprise-wide data or AI transformation initiatives, moving an organization from reactive reporting to predictive intelligence * Hands-on experience or a strong strategic point of view on implementing Snowflake Cortex, LLM-based workflows, and AI-powered analytics for business impact * Deep expertise in statistical modeling, causal inference, experimentation design, and applied analytics to drive business decisions * Technically credible across data science, ML, and analytics-with enough hands-on background to guide analytical decisions, evaluate methodology choices, engage in code-level dialogue, and hold the team to a high bar, without needing to be the one building it Working Conditions & Travel Requirements * Ability to travel to meet with customers and/or key stakeholders, product teams in other Workiva locations (up to 25%) * Reliable internet access for any period of time working remotely, not in a Workiva office How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world. At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email ___. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

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, 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:$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.

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 Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineer.We are looking forasoftware engineer with machine learningexpertiseto join us in expandingourAI capabilities, enablingincreased productivity and magical experiences in our products and services. In thisroleyou will be expected to design and implement complex AI systems thatleverageML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-basedQnA.The ideal candidate should be passionate about applying AI/ML concepts to difficult problems anddevelopscalable solutions. Wewantpeople who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software thatleveragesLarge Language Models (LLM), Multimodal LanguageModels(MLM),and other ML models and techniquesto buildamazingcapabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growthstartupand we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Developand productionize machine learning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc., • Develop andmaintainbackend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI modelsand services., • Developtools for large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development, • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration,deploymentand backend services., • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Documentandcommunicatedevelopment processes and implementation details with peers and supervisors, • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. RequiredQualifications: • Bachelor's orMaster's degree inComputer Science, Machine Learning, or a related quantitative field., • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus., • Goodunderstanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Proficiencyin Python and familiaritywith ML libraries such asPyTorch., • Familiarity withGenAIservices such as OpenAI GPT, Anthropic Claude, Google Gemma etc.Some experience indeveloping and fine-tuning prompts on any of theGenAIservicesis a plus., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. 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___.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years 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 Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$128,000—$202,000 USDNew York, NY Salary Range$161,600—$202,000 USDDenver, CO Salary Range$148,400—$185,500 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___.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals 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 (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.

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. • Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale., • Build an internal platform to empower LLM capability discovery., • Collaborate with researchers and engineers to integrate and optimize models for production and research use cases., • Conduct architecture and design reviews to uphold best practices in system design and scalability., • Develop monitoring and observability solutions to ensure system health and performance., • Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment., • 5+ years of experience building large-scale, high-performance backend systems., • Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++)., • Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.), • Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc., • Experience with containers and orchestration tools (e.g., Docker, Kubernetes)., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments. 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.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH 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:$259,200—$324,000 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.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are looking for a Technical Customer Success Specialist to support our Customer Success Managers (CSMs) by providing deep technical expertise across a portfolio of enterprise customers. This role is designed to scale technical knowledge across the Customer Success organization and act as a technical backbone for day-to-day account engagement. You will work in a one-to-many model, partnering with multiple CSMs and supporting approximately 30–50 customer accounts. Your focus will be on answering technical questions, advising on best practices, and helping customers successfully design, operate, and optimize conversational AI solutions built on the Cognigy platform. This role sits at the intersection of Customer Success, Product, and Conversational AI expertise. How will you make an impact? • Act as a shared technical resource for CSMs across multiple enterprise accounts, • Support CSMs with technical topics related to platform usage, solution design, product functionality, demos and best practice, • Provide timely responses to technical questions from CSMs and, where appropriate, directly from customers, • Serve as an escalation point for complex “how does this work” or “how should we do this” questions Conversational AI & Platform Expertise • Advise customers on conversational AI best practices, including dialog design, intent modeling, and flow orchestration, • Support NLU configuration, training, testing, and optimization, • Provide guidance on the application of generative AI and agentic AI concepts within enterprise conversational solutions, • Help customers understand platform capabilities, limitations, and recommended patterns Contact Center & Enterprise Context • Support customers operating conversational AI solutions within contact center environments (voice and digital), • Provide high-level guidance on integrations with CCaaS, CRM, and backend systems, • Help customers troubleshoot issues related to conversation behavior, routing, and experience design Collaboration & Feedback Loop • Collaborate closely with Support, Product, Engineering, and Professional Services to resolve customer issues, • Identify recurring themes, gaps, or improvement opportunities and feed insights back to internal teams, • Contribute to internal documentation, enablement materials, and best-practice guides for CSMs Scale & Efficiency • Help standardize technical guidance across the customer base, • Enable CSMs to handle more technical conversations independently over time, • Improve internal processes and documentation to support a growing enterprise customer footprint Have you got what it takes? • 3–5 years of experience in conversational AI, virtual agents, or intelligent automation, • Experience in a customer-facing technical role (Customer Success, Solution Consulting, Technical Support, or Professional Services), • Experience supporting enterprise customers in a one-to-many or scaled model Technical Expertise • Strong understanding of conversational AI fundamentals, including:, • NLU concepts (intents, entities, training data, evaluation), • Generative AI and LLM-based conversational systems, • Agentic AI and multi-step orchestration patterns, • Solid understanding of contact center operations and customer service workflows, • Ability to analyze conversational behavior and explain technical concepts to non-technical stakeholders Personal Attributes • Structured, organized, and comfortable juggling multiple customers and priorities, • Clear communicator with a pragmatic, solution-oriented mindset, • Curious and eager to stay current with advancements in conversational and generative AI, • Strong sense of ownership and customer focus You will have an advantage if you also have: • Hands-on experience with enterprise conversational AI platforms, • Familiarity with Cognigy or similar products, • Experience working with voice automation and CCaaS integrations About Cognigy NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. Requisition ID: 10131 Reporting into: Team Lead, CSM Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide. Following record-breaking 70% growth in 2025, we’ve expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying. We’re on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us. About the Role We’re looking for a Data Engineer who’s excited to work at the intersection of food waste, large-scale data processing, and applied AI. In this role, you’ll help shape how customer data flows through our platform, improving how we ingest, transform, and operationalize real-world datasets to drive down food waste for grocery chains. You’ll work closely with other data engineers, product engineers, and AI/ML engineers to design and implement reliable, efficient ETL pipelines and streamline how we integrate with new customers. You’ll contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily/quickly and power our machine learning grocery solution. What You’ll Do • Build and maintain robust data pipelines that ingest, transform, and validate complex customer data using PySpark, Python, and dbt to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use., • Help improve integrations with new customers, making the process faster and more repeatable through thoughtful tooling., • Contribute to the adoption of cutting-edge AI tooling (e.g., LLM-assisted data cleaning, semantic validation, and anomaly detection)., • Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features., • Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations., • Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need., • Learn and grow by pairing with other engineers, participating in design reviews, and taking on bigger and bigger projects. Skills and Experience • 2+ years of experience building ETLs or data workflows with Python, PySpark, SQL, or similar tools., • Comfortable working with messy, incomplete, or inconsistent datasets—and turning them into something structured and usable., • Experience in identifying areas where tooling or automation can simplify workflows and reduce manual effort., • Experience or strong interest in platforms like Databricks, Snowflake, and dbt., • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions., • Attention to detail and pride in delivering robust, maintainable solutions., • Collaborative and communicative — you work well across teams and aren't afraid to ask questions., • Learning mindset — hungry to grow your skills and move fast. We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. We encourage you to apply even if you don’t meet every requirement. This position is not eligible for employer sponsorship Salary Band in U.S.: $130,000 - $176,000 About Afresh Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors. Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.

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: ___

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, campaigns are where our growth experiments create value. An___ for AI requires a new approach to content, campaigns, and awareness. Campaigns help us reach existing audiences, and unearth new ones. This role is key in turning signal into strategy. As our Campaign Producer reporting to the Growth Experiments Lead, you’ll perform rapid tests to validate ideas and double down on what works. You won’t just create one-offs, but systems that underpin our ability to predictably and reliably deliver email marketing, social, and event collateral, or content to support SEO, LLM optimization, and online presence. This role is remote, with a preference for Santa Clara, CA; Boston, MA; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Responsibilities: • Experiment Content: Create content and assets for rapid growth tests, iterating quickly to scale successful plays into regular output., • Campaign Management: Own strategy and execution across channels (email, social, blog, SEO, video), managing paid spend and ensuring consistent brand voice., • Marketing Analytics: Connect marketing systems, unify user tracking, and analyze campaign effectiveness, delivering clear, actionable data insights., • Optimization & Testing: Manage ad campaign attribution and run parallel A/B tests to continuously optimize performance and inform future strategy., • Cross-functional Collaboration: Partner with internal and external teams to gather input, align on strategy, and ensure content resonates with target segments., • Market Awareness: Follow industry and growth trends, identifying novel ways to reach audiences authentically and differentiate Tenstorrent. Experience & Qualifications: • 5+ years in content creation, campaign management, or creative marketing., • Hands-on experience producing diverse content formats (e.g., written, video, social)., • Experience managing paid campaigns, budget, and attribution., • Familiarity with marketing analytics, A/B testing, and reporting., • Proficient with SAAS automation, CRM, and content management tools, • Technically inclined; comfortable with developer audiences and complex products., • Self-directed, curious, and comfortable in ambiguity., • Passion for AI and compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government. Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process. If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. Our product team is small but mighty. We partner with engineering, design, analytics and more to craft a marketplace that delivers business to our pros while helping millions of customers get their projects done each year. Do you want to work in a highly collaborative environment to reinvent how a large piece of the local economy works? We’re looking for a product manager to partner with engineers and designers to develop great solutions for Thumbtack’s customers and professionals. You’ll work on a variety of projects across the product with a diverse set of team members. You’ll join a team of Growth PMs building great user experiences that deliver value to our users and business impact. Our Partnerships PMs are building zero to one product experiences and capabilities that are reshaping Thumbtack in the AI age. We have active partnerships and integrations with some of the largest home services, home retailers and consumer tech brands including major LLM providers such as Alexa and OpenAI. Thumbtack’s goal is to become the go-to partner for AI powered experiences to enter the real world, connecting homeowners in need with real human beings that can solve their home problems. Partnerships PMs work directly on these product experiences and APIs helping shape the future of home services. • Lead a significant portion of our product experience and be accountable for business outcomes, • Conduct user research and lightweight tests to scope and prioritize product initiatives, • Partner with engineers, designers, analysts and data scientists to ideate, prioritize and deliver great solutions for our customers and professionals, • Define and analyze key metrics to inform decision-making and measure success, • Work closely with key Thumbtack partners (including LLM tech, consumer tech and home services/retailers) to ensure strategic alignment and strong execution, • Coordinate within your team and among teams at Thumbtack to ensure understanding of and alignment around projects, • Wear many hats and be key organizational glue, • 7+ years of product management experience building consumer web or mobile products, • Excellent user-centric design and product sense, • Excellent analytical skills to break down and solve complex problems, • Proven ability to collaborate cross-functionally, • Excellent written and oral communication skills, • Excellent business judgment, • Ability to work in a fast-paced and dynamic environment, • For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $200,600.00 - $259,600.00, • For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $180,200.00 - $233,200.00, • For candidates living in all other US locations, the expected salary range for this role is currently $170,900.00 - $221,100.00 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: ___. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at ___. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. ___

Zilliz is a fast-growing startup developing the industry’s leading ___ for enterprise-grade AI. Founded by the engineers behind Milvus, the world’s most popular ___, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization. As the Marketing Manager, Growth and Demand Generation at Zilliz, a fast-growing Series B company, you'll play a critical role in accelerating our NA & EMEA growth. This is a hands-on role where you'll design and execute data-driven campaigns to drive developer adoption and enterprise pipeline. You'll work closely with sales, product marketing, and engineering teams to test new tactics, optimize the funnel, and scale what works. We're looking for a proactive, scrappy marketer who thrives in a fast-paced environment and uses insights—not guesswork—to drive impact. • Drive full-funnel demand generation across North America and EMEA—from net-new acquisition to lead nurture to pipeline acceleration—with campaigns spanning email, paid media, events, webinars, and partner programs., • Run ABM-style programs targeting technical buyers, using LinkedIn Ads, Google Ads, and experimental paid or organic channels to reach the right personas at the right companies., • Partner closely with Sales, DevRel, and Product Marketing to design campaigns aligned to in-flight deals and ICP insights. You’ll use product usage signals and sales intel to shape outreach and content., • Leverage AI-powered tools like Clay, Phantombuster, Swan, Zapier, Make and Common Room to automate workflows, enrich leads, personalize messaging at scale, and uncover patterns across key accounts., • Own outbound and multi-channel plays—whether that’s sequenced outreach with SDRs, direct mail for strategic accounts, or a coordinated campaign tied to launch activity or regional events., • Build and lead a global webinar program, collaborating with content, DevRel, and product teams to educate, attract, and convert audiences., • Partner with GTM Ops to tag and track campaigns across all touchpoints. You’ll own the MQL → pipeline journey and be accountable for results., • Document what’s working, what’s not, and what’s next. You’ll report on campaign performance, share feedback with stakeholders, and continually refine strategy based on outcomes and insights., • Be scrappy and resourceful—experiment constantly, move fast, and scale what works., • 3–5 years of experience in B2B SaaS demand generation, integrated marketing, or field marketing, ideally focused on developer infrastructure, AI/ML, or data platforms., • Hands-on experience running ABM-style campaigns and managing programs across email, paid, webinars, and events., • A strong understanding of enterprise buyers and technical audiences, and how to build campaigns that resonate across both., • A mix of creativity and analytical rigor—you write compelling ad copy, test hypotheses, and know what metrics matter., • Paid acquisition expertise, including campaign setup and optimization across LinkedIn, Google, and other digital channels., • Deep familiarity with AI-driven tools like Clay, Swan, and Common Room to automate and scale outreach with precision., • Strong working knowledge of tools like HubSpot,/Clearbit, Google Ads, and analytics platforms., • A proactive and collaborative mindset—you move quickly, document what you learn, and share wins and misses openly., • Bonus: Experience in the vector database, LLM infrastructure, or GenAI ecosystem., • Help define the GTM playbook for one of the most important layers of the GenAI stack., • Join a high-growth team at the forefront of AI infrastructure., • Hybrid-friendly culture with flexibility built in., • Work closely with cross-functional teams across the globe., • Opportunity for rapid growth and high visibility., • Competitive compensation (cash + equity), • Regular bonus and equity refresh opportunities, • Medical, dental, and vision insurance, • Paid time off, including vacation, sick leave, and global well-being days, • Generous 401(k) and regional retirement plans$140,000 - $180,000 a yearZilliz is an Equal Opportunity Employer and welcome people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.

Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries. Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security. With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity. If you think you would be the right person to join our team working towards this goal, we would love to hear from you! Role Overview We’re looking for a seasoned Front-End Architect who thrives on technical depth and broad influence. You’re as comfortable designing architecture as you are shipping code, and you care deeply about developer experience, scalability, and performance. You’ve likely led modernization efforts, built shared frameworks or design systems, and enjoy helping others adopt better patterns at scale. As a Front-End Architect, you’ll help shape the foundation of how all our SaaS products are built and experienced. Our goal is to enable product teams to deliver faster, safer, and more consistent customer experiences, and you’ll play an instrumental role in that journey. You’ll collaborate with Senior Engineers, Product Managers, and UX Designers to create a cohesive frontend platform that unites multiple SaaS products into a single, scalable application. This is a hands-on technical leadership role: Part Architect, Part Builder, and Part Mentor. You’ll lead by example, designing reusable UI frameworks, modernizing legacy codebases, and guiding engineering teams toward better patterns, tooling, and practices. • You’ll have outsized impact. The work you do will unlock speed and consistency across multiple SaaS products, laying the groundwork for our next-generation unified platform., • You’ll solve meaningful technical challenges. From platform architecture to developer experience, you’ll tackle problems that blend scale, complexity, and usability., • You’ll join a culture that values autonomy and trust. We empower experienced engineers to make decisions, move quickly, and see their work make a measurable difference. No ivory towers. NOTE: Candidates must reside in The United States or Canada. • 8+ years of professional frontend development experience, including deep expertise in one or more major frameworks (e.g. React, Vue) and modern JavaScript/TypeScript., • 4+ years of experience shipping pragmatic SaaS solutions to production (AWS, Azure, or GCP), balancing technical vision with delivery., • Excellent mentorship and leadership skills, with the ability to guide and challenge senior developers., • Clear and confident communication: you can explain tradeoffs, document patterns, and build trust across Engineering, Product, and UX., • Comfortable leading by example: rolling up your sleeves to prototype ideas and prove out new patterns, then scaling those patterns widely through evangelism and mentorship., • Bachelor’s degree in a Computer Science related field, or equivalent practical experience., • Strong experience designing and implementing extensible frontend architectures (e.g., modular React apps, micro frontends, or plugin systems)., • Experience with the rest of our frontend stack (e.g. MUI, Vite[st], Tanstack, Emotion) and beyond (e.g. AWS, Docker, Grafana, AzDO), • Experience improving frontend DX through better tooling, faster local dev loops, observability, feature flagging, CI/CD pipelines, etc., • Familiarity with design systems, accessibility, and internationalization best practices., • Exposure to domain-driven design concepts and how they apply to frontend modularization., • Understanding of AI systems, including LLM architectures, token generation, and MCP frameworks., • Enthusiasm for using agentic AI and other modern practices as a key part of the SDLC (!!!). The Compensation Range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable). MIN: $154,000 - MID: $220,000 - MAX: $264,000 (USD) a year MIN: $137,900 - MID: $197,000 - MAX: $236,400 (CAD) a year Salary range (min - max)Magnet is proud to offer benefits such as: - Generous time off policies - Competitive compensation - Volunteer opportunities - Reward and recognition programs - Employee committees & resource groups - Healthcare and retirement benefits Indicators of Success We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”. It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have ‘been there, done that”. We want to be part of your development journey, and we’ll learn as much from you as you learn from us. How We Work At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals. We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best! The Most Important Thing We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences: CARE – We care about each other and our mission to make a difference in the world. OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect. DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect. EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work. Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways. Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact ___ should you require any accommodations. All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment. US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found ___.

We are looking for a forward-thinking Lead AI Developer to architect and build the next generation of autonomous AI applications. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi-step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high-level goals. You will lead the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal-oriented behaviors. Experience working with the GCP Vertex AI ecosystem is essential. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance. 1. Architecting and Implementing Agentic Workflows • Design Autonomous Loops: Build stateful control loops (Perception -> Reasoning -> Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments., • Conversational Agentic workflow: Chatbot style user experience powered by LLM, • GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long-context windows to process complex medical history., • RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines). 2. Data & Tool Integration • Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms., • Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment., • System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users., • Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance 3. Leadership & Strategy • Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines)., • Evaluation: Implement "LLM-as-a-Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases., • Core AI: Deep proficiency with LangChain or LangGraph, and specific experience with the Vertex AI SDK and ADK (Agent Development Kit), • Conversational workflow: Google Dialogflow CX, • LLMs: Expertise in prompting and configuring LLMs, specifically utilizing Function Calling and Context Caching., • Experience with integrating LLMs into platform and application workflow, experience with MCP protocols, • RAG/Embeddings: expert level experience in design and implementation of RAG based system using embeddings and vector databases, • Data Engineering: Strong SQL skills for BigQuery; experience with Vector Databases (Pinecone, Milvus, or Vertex Vector Search), • Backend Engineering: Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE., • Healthcare Domain: Familiarity with handling unstructured medical text or clinical guidelines is highly preferred., • Experience:, • 5+ years of software development experience., • 2+ years of hands-on experience building and deploying enterprise-grade agentic applications (e.g., using LangGraph, LangChain Agents)., • Familiarity with scalable, enterprise-level distributed systems, • Experience with advanced data structures, algorithms, and complexity analysis, • Demonstrated history of product value delivery, • Education:, • Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required., • Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred., • Work Authorization: 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.

Location: Remote - United States only. About the role: Ottimate is building the AI-native future of accounts payable. Our platform processes millions of invoices across hundreds of enterprise customers, powered by a suite of ML models and agentic workflows. As Director of AI Engineering, you will own the full AI and ML layer of our product — from invoice understanding and vendor intelligence to our conversational AP Copilot and the next generation of autonomous AP agents. This is a hands-on leadership role. You will spend at least half your time writing code, architecting systems, and driving technical decisions alongside your team. You will also set the AI roadmap, partner cross-functionally with Product, Data, and Platform Engineering, and manage a distributed team of 8–10 engineers across Data and ML. We are looking for a senior technical manager or director — ideally someone who has thrived at a smaller company and is ready for a career step up into broader ownership. If you are energized by shipping real AI products, working with noisy real-world financial data, and building the systems that will define how enterprises automate AP, this role is for you. Responsibilities Technical Leadership • Architect and ship production AI/ML systems — you write code, not just review it, • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery, • Set technical standards for model quality, evals, observability, and reliability, • Drive adoption of agentic coding tools to multiply team velocity, • Claude Code, Cursor, Copilot, or equivalent — measure and improve PR throughput, • Manage a distributed team of 8–10 engineers across Data and ML disciplines, • Hire, develop, and retain engineers at all levels; build a high-trust remote culture, • Partner with Product on roadmap sequencing and scope trade-offs, • Work directly with customer-facing teams to close feedback loops on model quality, • Own model performance metrics and drive continuous improvement pipelines, • Build and maintain evals frameworks — regression suites, human review, A/B testing, • Oversee training data collection, curation, and labeling operations, • Manage the full ML lifecycle: experimentation, deployment, monitoring, iteration, • Define and enforce quality bars for agentic workflows entering production Applied AI & Agentic Systems • Production agentic pipelines using frontier models, • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration, • Reliable agent loop design — planning, memory, tool execution, error recovery, • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking, • Evals frameworks built from scratch — correctness, regression, semantic similarity, • Fine-tuning frontier or open-source models for domain-specific tasks, • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls, • Training data collection, curation, cleaning, and labeling at scale, • LLM inference and serving optimization, • vLLM, TGI, or equivalent, • Hands-on Python — comfortable writing, reviewing, and shipping production code, • PostgreSQL — schema design, query optimization, indexing strategies, • Distributed systems — async workers, queues, retries, state machines, • Celery or similar async task frameworks is a bonus, • Public-facing API design — REST, versioning, developer experience, • MCP server development — tool-accessible APIs for AI agent integration, • Engineering Manager ready for director-level ownership, • Has led technical teams at a startup or growth-stage company — knows how to move fast, • Hands-on contributor who has also managed small high performance teams., • Finance and/or AP domain — invoice workflows, GL coding, vendor management, • Hospitality — high-volume, multi-location AP operations, • Noisy, unstructured text data — OCR outputs, inconsistent supplier formats, entity resolution at scale ★ Industry experience above is a bonus Exceptional AI engineering skills are the primary bar. We will teach the domain. We care deeply about making Ottimate an incredible place to work and invest a significant amount of time and energy into creating and maintaining a company culture that provides our team with a generous level of support whilst inspiring them to do their best work. The specific benefits/perks we offer are continually evolving, but currently include: • Compensation: 200,000-225,000 + 15% Annual Bonus, • Competitive salary based on skills & experience., • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family., • Employer sponsored 401(k) with company match., • Paid Time Off (and the encouragement to use it)., • Annual company retreats., • Promote from within philosophy. Beyond the tangible benefits though: • You will be part of a growing team, at a pinnacle moment of scale for the business, and experience the excitement of working in a startup where each action makes a huge difference., • You will have the agency to solve difficult problems creatively, the freedom to explore work that inspires you, and infrastructure to ensure you're constantly challenged and developing., • You will work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution., • Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note., • We are transforming entire industries using innovative technology including Artificial Intelligence, Payment Tech, and Neural Networks., • Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth., • We truly love what we do and who we do it with - and we think you will too! Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out ___ and connect with us on ___and ___. Travel to Office expectationsFor Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team SummaryThis team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impactAI products. Job SummaryThe AI Engineer – Autonomous Agent will work closely with the Product and Engineering teams to design and implement agent-based solutions that align with product goals. The AI Engineer – Autonomous Agent will also build new agent data types and pipelines and enable frameworks and workflows for agent reasoning, function calling, and action coordination. Key Responsibilities- Collaborate with product and engineering teams to translate product objectives into autonomous agent-based solutions.- Design and build new agent data types, and pipelines that enable agents frameworks, and workflows to coordinate reasoning, function calling, actions- Develop and optimize autonomous agents leveraging LLMs, planning algorithms, and multi-step reasoning approaches.- Implement comprehensive security mechanisms for autonomous agents, including authentication, role-based access control, audit logging, and compliance monitoring- Integrate agents securely with existing systems, APIs, and data sources with secure communication protocols Qualifications & Skills- Expert level in Python, frameworks, and functional programming principles- Experience designing and implementing LLM agent workflows, and familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, and AutoGen. Preferred- Master’s degree or higher in Artificial Intelligence.- Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring. #LI-AV1#LI-remote $179,000 - $199,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $179,000-199,000 (not overtime eligible) + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.PointClickCare Benefits & Perks: Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact ___ should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with ___. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: ___ PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Mission: Own and deliver on a product area while building the product management team’s capabilities, processes, and culture. Accountable for both product outcomes and the growth of PMs on the team. Key responsibilities: • Partner with the CEO & executive team to set product strategy and prioritize development objectives across all product areas, • Interface with clients to uncover market problems, test divergent ideas and converge on the best solution that is valuable, usable and feasible, • Drive outcomes by setting the strategic direction (roadmap) and managing the tactical implementation (backlog) for owned product area while ensuring consistent practice across the PM team, • Support launching products in the market, including sales readiness, go-to-market activities and ongoing post-launch efforts, • Build and develop the PM team — hire, coach, and establish the methodologies, rituals, and quality bar for product management, • Represent the product function in executive and cross-functional leadership forums Product Discovery & Opportunity Assessment • Runs a continuous-discovery loop (weekly customer touchpoints, rapid experiments, opportunity-solution tree kept current)., • Frames market problems with clear learning objectives, risks & assumptions before delivery., • Leads the Triad (PM + UX + Lead Engineer) to test value, usability & feasibility early; encourages intelligent risk-taking., • Combines qualitative insight (interviews, jobs-to-be-done) with quantitative signal (usage, funnel, NPS) to size opportunities., • Challenges assumptions openly—asks crisp, “what would have to be true?” questions., • Leverages Generative AI capabilities as a product lever and can identity where AI adds genuine user value vs. where it’s cosmetic, and partners with engineering to evaluate feasibility., • Owns an outcome-based roadmap that ties directly to company OKRs and 4-lens test (Strategy, Vision, Customer, Business)., • Gains executive & cross-functional alignment through storytelling and visuals; roadmaps are adaptable (reviewed at least quarterly)., • Serves as Product Owner for an agile process; backlog always reflects priority + class-of-service., • Sets High-Integrity Commitments (fixed-date work) only when risk-adjusted forecasts support them; meets ≥ 90 % of those dates., • Collaborates daily with engineering to slice value thinly, ensure definition-of-ready/done, and unblock swiftly., • Cultivates trust-first relationships; practices pre-wiring / shuttle diplomacy to avoid surprises., • Evangelizes the product vision internally & externally; can demo, train, and support customers end-to-end., • Models servant-leadership: creates psychological safety, celebrates experiments (even failed ones) and elevates team expertise., • Proactively translates company strategy into product narratives that resonate with every function (sales, CX, marketing, finance)., • Establishes and coaches a consistent discovery and delivery methodology across PMs., • Runs regular product reviews that elevate team thinking (not just status updates); sets the quality bar for specs, roadmaps, and stakeholder communication by example., • Makes hiring decisions and builds a pipeline of PM talent; creates career development frameworks and gives direct, actionable feedback., • Ensures consistent backlog health and delivery practices across all PM-owned products, not just their own., • 7–10 years of software product management experience, including ownership of a product roadmap and backlog, • Demonstrated experience running continuous product discovery (customer interviews, experiments, opportunity sizing), • Track record of shipping software products through a full lifecycle — from discovery through launch and iteration, • Experience working within Agile/Lean/Kanban delivery teams as a Product Owner or equivalent, • Strong data literacy — comfortable using analytics, funnel metrics, and usage data to inform decisions, • Technical fluency — able to collaborate deeply with engineering on feasibility, trade-offs, and system design (not expected to write code), • Exceptional written and verbal communication skills; ability to lead meetings, present to executives, and facilitate cross-functional alignment, • Go-to-market experience — has partnered with sales, marketing, and CX on launches and enablement, • 2–3+ years of formal or informal leadership of other PMs, including mentoring and developing PM talent, • Comfort operating at both strategic and tactical altitude — can present a quarterly roadmap narrative to the board and write acceptance criteria in the same week, • Experience with data integration, interoperability, or iPaaS/middleware products, • MBA or equivalent graduate degree, • Experience with outcome-based roadmapping and OKR frameworks, • Familiarity with LLM capabilities, prompt engineering, and the practical constraints of AI systems, • Prior experience working within Salesforce or Blackbaud ecosystems, • Prior experience working in the nonprofit sector (either at a nonprofit or at a nonprofit software/service provider)

Siena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions. Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better. We're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with. If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels. As a Product Manager, AI Agent Deployment you're embedded with strategic accounts, owning their deployment outcomes while building platform capabilities. Forward-deployed PM meets technical account ownership. You deploy agents and turn those insights into product improvements that scale. You're energized by the loop: deploy agents → drive outcomes → identify gaps → build platform improvements → repeat. * 3+ years in PM, solutions engineering, implementation, TAM, customer success engineering, or product ops * Experience with technical products and enterprise customers * AI-native mindset. You live in Claude Code, Cursor, and max out your LLM limits * You can scope webhooks, OAuth flows, and complex integrations * You ship features, write docs, run demos, and measure what matters * You've lived the problems customers are trying to solve. You know what "great CX" looks like * You can diagnose whether problems are technical, operational, or stakeholder-related and prioritize accordingly * You are comfortable advising CX leaders on organizational design, process optimization, and transformation strategy * Ability to work in North American time zones is a must * Own agent outcomes for strategic accounts end-to-end. * Deploy AI agents, drive automation rates, identify what's blocking progress, then build the platform fix * Work directly with enterprise CX leaders to design AI transformation roadmaps that you'll help execute * Turn deployment insights into platform capabilities that help every customer, not just the one you learned from * Build new agent capabilities that work seamlessly across platforms * Design evaluation systems that make our agents continuously smarter. QA suites, automated testing, performance monitoring * Run full launch cycles from internal testing to GA, including customer enablement * Demo your own products and co-sell alongside sales. You'll be known by name in our customer Slack communities * Competitive salary, equity, flexible remote work * Premium AI tools (ChatGPT, Claude, Perplexity Pro, Cursor) plus quarterly budget for new tools * Clear growth pathways into deeper specialization or team leadership * Meaningful impact. Your work directly shapes our product and company. * Globally distributed team working at the bleeding edge of CX and AI. * Great salary plus the opportunity for equity or stock grants. * Learning budget. If you're growing, so are we. * The thrill of building something new. Join us at a stage where your contributions matter most. * AI-fluency. Make AI your second nature. * Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades. The people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward. The people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem. Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows. At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application. Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Location: Remote (with occasional travel) Base Location: Salt Lake City, UT, US Employment Type: Full-time Salary Range: $150K - $260K (Based on YOE; potential flexibility for more tenured candidates) We are a rapidly growing, well-funded technology company trusted by enterprise clients, developing a leading AI-powered platform for a specialized professional sector. Join our small, highly efficient engineering team to take ownership of complex systems and ship features quickly in a high-velocity, modern tech stack environment. We are looking for a Staff, Senior, or Principal Software Engineer with a strong background in software engineering leadership to drive the design, implementation, and reliability of our core product. You will take full ownership of features from concept to production in a distributed, modern stack. • Ship features rapidly within an Elixir/Phoenix/LiveView monolithic application, taking full accountability for the entire feature lifecycle, from design through deployment., • Build and maintain numerous third-party integrations (currently 30+) using consistent adapter patterns and the Tesla/Finch HTTP client stack., • Work within and enhance a distributed Elixir environment (libcluster on Kubernetes) to ensure exceptional scalability, reliability, and performance., • Contribute to system quality by utilizing LiveView tests, Hammox for contract testing, and Wallaby for end-to-end user flows., • Utilize advanced observability tools (GCP logging, AppSignal, Prometheus, Grafana) to debug complex systems and continuously improve performance., • Engage directly with cutting-edge LLM-powered features, including prompt routing, caching, JSON mode, function calling, embeddings (pgvector), and evaluation frameworks., • Collaborate on a fully defined, version-controlled infrastructure where all components are managed by Terraform within a GCP/GKE environment., • Embrace an author ownership culture: write, test, ship, and be responsible for the reliability of your code in production., • Experience: 5+ years of experience in a software engineering leadership role (Staff, Senior, Principal, or equivalent)., • Core Proficiency: Strong, practical experience with the Elixir, Phoenix, and LiveView framework., • Distributed Systems: Experience designing and debugging distributed applications running on platforms like Kubernetes (GKE)., • Testing/Quality: Proven ability to implement comprehensive testing strategies, including LiveView tests and E2E testing., • Infrastructure as Code (IaC): Direct experience with Terraform for managing cloud and application infrastructure., • AI/LLMs (Preferred): Familiarity or experience with developing robust systems that utilize LLMs (e.g., prompt engineering, caching, function calling, or vector databases like pgvector)., • Ownership: A demonstrated history of taking features from end-to-end, including high commitment to production reliability and performance monitoring., • Work Style: Thrives in a high-velocity culture with daily small feature/bug fix deployments and multi-day, rather than multi-week, feature cycles., • Highly competitive salary package ($150K - $260K) based on experience., • Meaningful early-stage equity (0.066% - 0.1%)., • Fully Remote work arrangement, offering flexibility (occasional travel for team collaboration is encouraged)., • Work with a modern and highly efficient tech stack including Elixir, Phoenix, LiveView, Rust/Rustler, and Terraform/GCP/GKE., • The opportunity to build industry-leading AI tools that automate mission-critical tasks for enterprises. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

The Community You Will Join: Messaging is a critical component in building connections with our users. Our mission as the Communication Products team is to build a first-class messaging experience at Airbnb, bringing together guests and hosts across the world. We are investing heavily in machine learning to make these conversations smarter, safer, and more productive. As a staff software engineer on this team, you'll lead the technical vision for ML-powered messaging features: architecting and delivering intelligent capabilities end-to-end, partnering deeply with ML and product teams, and raising the engineering bar across the organization. The Difference You Will Make: As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration. In addition, you will help drive key technical deliverables for the larger Communications organization. A Typical Day: • Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability, • Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions, • Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact, • Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions, • Mentor, guide, advocate, and support the career growth of individual contributors, • Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation Your Expertise: • 9+ years of relevant engineering hands-on work experience, • Bachelors, Masters, or PhD in CS or related field, • Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring, • Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications, • Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding, • Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering, • Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution, • Experience operating distributed, real-time systems at scale with high reliability requirements, • Experience with real-time messaging systems or event-driven architectures, • Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms), • Prior work on trust & safety, content moderation, or internationalization in a messaging context, • Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. ___ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: ___. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.